Data Scientist jobs at U.S. Department of Transportation - 163 jobs
Supervisory Data Scientist
Us Department of Transportation 4.5
Data scientist job at U.S. Department of Transportation
Apply Supervisory DataScientist Department of Transportation Office of Inspector General Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply The Office of Inspector General (OIG), works within the U. S. Department of Transportation (DOT) to promote efficiency and effectiveness, and prevent or stop waste, fraud and abuse in departmental programs. OIG also consults with the Congress about programs in progress and proposed new laws and regulations. The Inspector General Act of 1978 gives the Office of Inspector General autonomy to do its work without interference.
Summary
The Office of Inspector General (OIG), works within the U. S. Department of Transportation (DOT) to promote efficiency and effectiveness, and prevent or stop waste, fraud and abuse in departmental programs. OIG also consults with the Congress about programs in progress and proposed new laws and regulations. The Inspector General Act of 1978 gives the Office of Inspector General autonomy to do its work without interference.
Overview
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Accepting applications
Open & closing dates
01/13/2026 to 01/27/2026
This job will close when we have received 100 applications which may be sooner than the closing date. Learn more
Salary $143,913 to - $187,093 per year
Selectee's salary will be determined based on their current duty station pay scale.
Pay scale & grade GS 14
Location
1 vacancy in the following location:
Washington, DC
1 vacancy
Remote job No Telework eligible Yes-This position may be eligible for situational telework. Telework approval will be determined by your immediate supervisor or manager following the agency's telework policy and guidance. If participating in the telework program, you will be required to sign a telework agreement detailing agency telework policy requirements, working conditions, and expectations for the position. Travel Required Occasional travel - Occasional Travel may be required. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time - This is a full-time position. Service Competitive
Promotion potential
14 - Position is at full performance level.
Job family (Series)
* 1560 Data Science Series
Supervisory status Yes Security clearance Secret Drug test Yes Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk
Trust determination process
* Credentialing
* Suitability/Fitness
* National security
Financial disclosure Yes Bargaining unit status No
Announcement number JD-1-2026-0003 Control number 854309300
This job is open to
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Internal to an agency
Current federal employees of the hiring agency that posted the job announcement.
Clarification from the agency
This position is open to DOT-OIG employees only in all field/regional offices and HQ. If selected, applicant will remain at their current duty station.
Duties
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As the Team Lead for the Data Science and Statistics (DSS) Group, you will personally guide and contribute to
projects while leading a team of data experts in supporting investigations, audits, and the broader OIG community. This position blends deep technical work with strategic project leadership and personnel management to drive data-driven decision-making across the agency.
Major duties include, but not limited to the following:
* Supervise datascientists and statisticians, handling administrative duties like hiring recommendations, work assignments, performance evaluations, and leave approvals.
* Ensure research products are technically accurate, timely, and aligned with organizational priorities.
* Set performance plans, conduct appraisals, and support team development through coaching and training.
* Balance workload, set priorities, and adjust assignments as needed.
* Lead project planning and execution for advanced data science initiatives, monitor progress, identify risks, and ensure successful delivery.
* Serve as the primary supervisory and technical point of contact for customers regarding analytics capabilities, project scope, and deliverables.
* Simplify complex analytical concepts for senior leaders and other stakeholders.
* Brief management and customers on project status and findings.
* Prepare and review analytic reports and visualizations.
* Lead the team in applying data analytics techniques to solve oversight and investigative problems.
* Develop high-quality data visualizations and dashboarding tools utilizing RShiny and Python.
* Evaluate and recommend emerging analytics tools and methods, particularly in AI, for strategic mission value.
* Address complex analytical problems with expert solutions.
* Review and approve analytical methodologies and products.
* Mentor staff in novel approaches and software production.
* Ensure compliance with laws, regulations, policies, and standards related to data privacy, security, and ethical use.
* Implement data governance policies and approve data access requests and analytical methods.
* Identify and mitigate data management risks.
* Contribute to internal procedure development for analytics and data handling.
* Collaborate with CIGIE and external partners on shared analytics projects and working groups.
* Represent the organization in interagency forums on data analytics, innovation, and oversight modernization.
* Translate complex analytical concepts for senior leaders and stakeholders in clear, mission-relevant language.
Requirements
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Conditions of employment
* U.S. Citizen
* Random drug testing is required.
* You must meet the specialized experience to qualify
* Successful completion of a background security investigation
* Required documents must be submitted by the closing date
* Submit application and resume online by 11:59 PM EST on the closing date
CONDITIONS OF EMPLOYMENT:
* SELECTIVE SERVICE: Males Born after 12-31-1959 must be registered for Selective Service.
* BACKGROUND INVESTIGATION: A background security investigation is required for all selected individuals. Appointment will be subject to the applicant's successful completion of the security investigation and favorable adjudication. Failure to meet these requirements will be grounds for termination.
* PRE-EMPLOYMENT/PRE-APPOINTMENT DRUG TESTING: Tentatively selected candidates are required to successfully complete a pre-employment undergo urinalysis in accordance with DOT 3910.1D entitled "Drug and Alcohol-Free Departmental Workplace", which includes testing for marijuana. Marijuana is legal in some states, however it's still illegal at the federal level. Therefore, if selected for the position you will be required to submit to a pre-employment/pre-appointment drug test, you will also be subject to Random Drug Testing.
* TIME-IN-GRADE: Federal applicants must have served 52 weeks at the next lower grade to satisfy time-in-grade restrictions contained in 5 CFR 300, Subpart F.
Qualifications
Candidates must have one (1) year of specialized experience at least equivalent to the GS-13 grade level in the federal service. Non-government experience should be of similar complexity.
Examples of specialized experience includes:
* Leading data science projects to detect fraud, waste, abuse, or safety risks, and applying machine learning, statistical modeling, and data mining for audits and investigations.
* Managing large datasets for analysis and consulting with auditors and investigators to define data needs and retrieve information.
* Creating dashboards and visualizations with R or Python for monitoring and analytics, overseeing data projects, including planning and team coordination.
* Developing project plans, tracking progress, and translating complex data results for non-technical audiences.
* Briefing senior leadership on the status and outcomes of analytical initiatives.
Your resume will be evaluated based on the following competencies:
* Workforce Management: Effectively plans, develops, and deploys people and resources to achieve agency goals.
* Stakeholder Communication: Clearly conveys and exchanges information with stakeholders to support alignment and informed decision-making.
* Applied Research / Technical Competence: Applies technical knowledge and research methods to solve problems and inform practical solutions related to data analytics.
* Data Security / Governance: Ensures responsible, secure, and compliant management of data throughout its lifecycle.
* Strategic Collaboration: Partners across teams or organizations to align efforts and achieve shared strategic objectives.
Applicants must meet qualification requirements by the closing date of this announcement.
Education
Education
This position has a Basic Education Requirement. Submission of unofficial or official transcripts is required with your application.
* Degree: Mathematics, statistics, computer science, data science or field directly related to the position (we will accept social and natural science degrees with statistical components such as sociology, criminology, political science, biology, chemistry, engineering, physics, immunology, genetics, ecology, etc.). The degree must be, at minimum, attained at the baccalaureate level.
or
* Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Additional information
THIS ANNOUNCEMENT MAY BE USED TO FILL ADDITIONAL LIKE VACANCIES IN THE ANNOUNCED DUTY LOCATION.
DUTY LOCATION: If selected, applicant will remain at their current duty station.
Relocation expenses will not be paid.
Expand Hide additional information
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How you will be evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
All applicants: Your application will be reviewed in two phases to determine how you move forward in the hiring process.
Phase I: Your resume will be reviewed to determine your technical qualifications for this position based on the required specialized experience. ONLY two (2) pages of your resume will be reviewed. Additional information beyond your resume (e.g., cover letter, links embedded in your resume) will not be reviewed. Applicants passing "Phase I" will move on to the "Phase II" of the assessment process where your application will be reviewed and rated based on the KSAs/Competencies listed in the vacancy announcement by a Subject Matter Expert (SME). Applicants who do not respond to the application questions may be rated ineligible.
Federal employees must meet Time-In-Grade (TIG) requirements for merit promotion consideration. TIG is the 52-week requirement Federal employees in competitive service, General Schedule (GS) positions at GS-5 and above must serve before they are eligible for promotion to the next grade level. TIG requirements must be met by the closing date of this announcement.
You may preview questions for this vacancy.
Benefits
Help
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
Required documents
Required Documents
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Résumé (required) -
Your resume must sufficiently describe how your experience fully meets the specialized experience requirements as stated in this announcement for each grade level(s) you are applying (see "Qualifications" section).Please limit your résumé to 2 pages. If more than 2 pages are submitted, only the first 2 pages will be reviewed to determine your qualifications. Your resume must also support your responses to the assessment questionnaire. Credit will be given for paid and unpaid experience. We cannot assume you have performed the experience required for this position regardless of your employment history or academic career. We strongly recommend you use the USA Jobs online Resume Builder to submit a resume. If you choose to use your own formatted resume, you must ensure it contains all of the following for each experience/position listed: job title, name of employer, beginning and ending dates of employment (month/year format), hours worked per week, detailed description of duties performed, and if a Federal position, series and grade or equivalent. We will not access web pages linked on your resume to determine your qualifications. Do not include a photograph or video of yourself, or any sensitive information.
For additional information see:
* What to include in your resume
* Resume Writing
Transcripts Verifying Basic Education Requirement (required) - You must submit unofficial or official transcripts verifying you meet the Basic Education Requirement. Ensure that the degree awarded and confer date are clearly stated on the transcript(s).
Merit Promotion - All current Federal employees must submit a recent Notification of Personnel Action (SF-50) documenting proof of competitive status, tenure, current grade level and full performance level of the position held. All reinstatement eligibles/former Federal employees must submit a SF-50 documenting proof of competitive status, tenure, grade level and full performance level of the position.
Non-competitive eligibles - must submit proof of eligibility (i.e., SF-50 documenting the full performance level of a position held on a permanent basis).
DD-214 and/or Vet Letter/SF-15 - To receive consideration including veteran's preference points, all veterans must submit a copy of their DD-214 (copy Member #4). If you are claiming 10-point preference, you must submit your SF-15 (revised 12/04) and Vet letter. The form is available at ************************************* If you are a current service member, in lieu of a DD-214, you may submit a statement from your military personnel center certifying the nature and dates of your service and expected date of separation.
VEOA - Preference Eligibles or veterans who have been separated from the armed forces under honorable conditions after substantially completing an initial three-year term may apply under the Veterans Employment Opportunity Act (VEOA). All veterans applying under the VEOA authority must submit a copy of their DD-214 (copy Member #4). If you are a current service member, in lieu of a DD-214, you may submit a statement from your military personnel center certifying the nature and dates of your service and expected date of separation.
SCHEDULE A - To receive consideration for Schedule A appointment, you must submit your certification from a State Vocational Rehabilitation Office or the Department of Veterans Affairs that you are likely to succeed in the performance of the position.
CTAP/ICTAP - If you are eligible under the Career Transition Assistance Program (CTAP) or the Interagency Career Transition Assistance Program (ICTAP), a copy of your certificate of surplus status, certificate of expected separation, or a specific Reduction-in-Force notice establishing your eligibility under CTAP/ICTAP. CTAP/ICTAP candidates must meet all qualification requirements for the vacant position to include any selective factors; meet the definition of best qualified (GOLD Category); and be able to satisfactorily perform the duties of the position upon entry.
Supporting documents may either be uploaded or faxed to ************. The requested information MUST be received by fax within 48 hours prior to the closing date of the vacancy announcement (not including Saturdays, Sundays or government holidays). The requested information MUST be received by fax within 48 hours prior to the closing date of the vacancy announcement (not including Saturdays, Sundays or government holidays).
NOTE: If you exaggerate or falsify your experience, education and/or your responses to questions, your ratings are subject to change or you may be removed from employment consideration.
Applicants who fail to submit all the required documentation listed above, in addition to their resumes, will be considered ineligible for further consideration for this announcement.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
How to Apply
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Applications submitted via WWW.USAJOBS.GOV must be received before midnight eastern time on the closing date of the announcement. No extensions will be granted. If you fail to submit a COMPLETE on-line resume, you WILL NOT be considered for this position. Please make sure that the responses provided in the questionnaire are fully supported by your resume, that your resume is detailed and you have highlighted your most relevant experience for this position (to include starting and ending dates of employment for each position held), and education (if applicable) as it relates to this job opportunity. If you fail to provide this information, it may result in you being rated "ineligible" or "not qualified" for this position.
If you exaggerate or falsify your experience, education and/or your responses to questions, your ratings are subject to change or you may be removed from employment consideration. Applicants who do not respond to the application questions will be rated ineligible.
If applying on-line poses a hardship to any applicant, the Servicing Personnel Office listed on the announcement will provide assistance to ensure that applications are submitted on-line by the closing date. Applicants must contact the Servicing Human Resources Office PRIOR TO THE CLOSING DATE to speak to someone who can provide assistance for on-line submission. Requests for extensions will not be granted.
THIS ANNOUNCEMENT MAY BE USED TO FILL ADDITIONAL LIKE VACANCIES IN THE ANNOUNCED DUTY LOCATION.
Agency contact information
Karen Muller
Phone ************ TDD ************ Email ************************ Address DOT, OFFICE OF THE INSPECTOR GENERAL
1200 New Jersey Ave SE
W71-123
Washington, District of Columbia 20590
United States
Next steps
Once your complete application is received, we will conduct an evaluation of your qualifications and determine your ranking. The most highly qualified candidates will be referred to the hiring manager for further consideration and possible interview. You will be notified of your application status by the servicing human resources specialist via e-mail. It is essential that you have a current e-mail address on file and remove any restrictions from your e-mail account that may prohibit our contacting you via e-mail. You may also check the status of your application at WWW.USAJOBS.GOV.
Fair and transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
Criminal history inquiries Equal Employment Opportunity (EEO) Policy
Financial suitability New employee probationary period
Privacy Act Reasonable accommodation policy
Selective Service Signature and false statements
Social security number request
Required Documents
Help
Résumé (required) -
Your resume must sufficiently describe how your experience fully meets the specialized experience requirements as stated in this announcement for each grade level(s) you are applying (see "Qualifications" section).Please limit your résumé to 2 pages. If more than 2 pages are submitted, only the first 2 pages will be reviewed to determine your qualifications. Your resume must also support your responses to the assessment questionnaire. Credit will be given for paid and unpaid experience. We cannot assume you have performed the experience required for this position regardless of your employment history or academic career. We strongly recommend you use the USA Jobs online Resume Builder to submit a resume. If you choose to use your own formatted resume, you must ensure it contains all of the following for each experience/position listed: job title, name of employer, beginning and ending dates of employment (month/year format), hours worked per week, detailed description of duties performed, and if a Federal position, series and grade or equivalent. We will not access web pages linked on your resume to determine your qualifications. Do not include a photograph or video of yourself, or any sensitive information.
For additional information see:
* What to include in your resume
* Resume Writing
Transcripts Verifying Basic Education Requirement (required) - You must submit unofficial or official transcripts verifying you meet the Basic Education Requirement. Ensure that the degree awarded and confer date are clearly stated on the transcript(s).
Merit Promotion - All current Federal employees must submit a recent Notification of Personnel Action (SF-50) documenting proof of competitive status, tenure, current grade level and full performance level of the position held. All reinstatement eligibles/former Federal employees must submit a SF-50 documenting proof of competitive status, tenure, grade level and full performance level of the position.
Non-competitive eligibles - must submit proof of eligibility (i.e., SF-50 documenting the full performance level of a position held on a permanent basis).
DD-214 and/or Vet Letter/SF-15 - To receive consideration including veteran's preference points, all veterans must submit a copy of their DD-214 (copy Member #4). If you are claiming 10-point preference, you must submit your SF-15 (revised 12/04) and Vet letter. The form is available at ************************************* If you are a current service member, in lieu of a DD-214, you may submit a statement from your military personnel center certifying the nature and dates of your service and expected date of separation.
VEOA - Preference Eligibles or veterans who have been separated from the armed forces under honorable conditions after substantially completing an initial three-year term may apply under the Veterans Employment Opportunity Act (VEOA). All veterans applying under the VEOA authority must submit a copy of their DD-214 (copy Member #4). If you are a current service member, in lieu of a DD-214, you may submit a statement from your military personnel center certifying the nature and dates of your service and expected date of separation.
SCHEDULE A - To receive consideration for Schedule A appointment, you must submit your certification from a State Vocational Rehabilitation Office or the Department of Veterans Affairs that you are likely to succeed in the performance of the position.
CTAP/ICTAP - If you are eligible under the Career Transition Assistance Program (CTAP) or the Interagency Career Transition Assistance Program (ICTAP), a copy of your certificate of surplus status, certificate of expected separation, or a specific Reduction-in-Force notice establishing your eligibility under CTAP/ICTAP. CTAP/ICTAP candidates must meet all qualification requirements for the vacant position to include any selective factors; meet the definition of best qualified (GOLD Category); and be able to satisfactorily perform the duties of the position upon entry.
Supporting documents may either be uploaded or faxed to ************. The requested information MUST be received by fax within 48 hours prior to the closing date of the vacancy announcement (not including Saturdays, Sundays or government holidays). The requested information MUST be received by fax within 48 hours prior to the closing date of the vacancy announcement (not including Saturdays, Sundays or government holidays).
NOTE: If you exaggerate or falsify your experience, education and/or your responses to questions, your ratings are subject to change or you may be removed from employment consideration.
Applicants who fail to submit all the required documentation listed above, in addition to their resumes, will be considered ineligible for further consideration for this announcement.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
$143.9k-187.1k yearly 14d ago
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Data Scientist (Hybrid/U.S. Citizens Only)
Task Force Talent 3.8
Tysons Corner, VA jobs
Job Description
Task Force Talent is seeking datascientists for a very well-funded Series C company working on insider threat and supply chain security problems. Target salary range is 150k to 200k+, plus equity, depending on experience level and location.
Please note that although this is a data science position, the company is looking for skill sets much closer to software engineering. This is NOT a role focused on just on statistical analysis or building dashboards. Candidates will have to pass technical interviews similar to software engineering interviews.
The company is profitable and growing fast with approximately 150+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT, with a hybrid (typically 3 days/week in the office) schedule; however, those hours are flexible to accommodate family/childcare and traffic as the goal of in-office hours is to know your team better.
Benefits
Company Equity Options and 401(k) Plan
Unlimited PTO and Wellness Reimbursement
U.S. Holidays
Paid Parental Leave
Comprehensive Insurance (Medical, Dental, and Vision)
This company is completely private sector, no security clearance required; however, employment is open to U.S. citizens only at this time.
____________________________________________________________________________________________________________________________________________
Qualifications
MUST be a U.S. citizen (no permanent residents, no visa sponsorship); while no clearance is required, candidates must be clearance-eligible.
AT LEAST 3+ years (ideally 5+ to be most competitive) of experience in data science and/or analytics
MS or BS in an engineering (preferred) or quantitative field (Science, Economics, Statistics) with a background in programming.
Strong proficiency in Python, SQL, R or comparable languages
Experience with large-scale data analysis and statistical modeling
Ability to transform complex data into actionable insights
Strong project management and prioritization skills
Experience with Elasticsearch preferred
Proven ability to work independently and as part of a team
Strong communication skills for technical and non-technical audiences
BONUS: Foreign language fluency, particularly languages associated with threat actors.
____________________________________________________________________________________________________________________________________________
Interview Process
This company typically has a phone screen, followed by a coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks.
About Us
Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series C startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium-sized government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you!
____________________________________________________________________________________________________________________________________________
Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ***************************************** (Terms and conditions apply.)
If you don't see the perfect fit, simply use our general application at: ****************************************************************************************
$76k-110k yearly est. 23d ago
Senior Data Scientist (Hybrid/U.S. Citizens Only)
Task Force Talent 3.8
Tysons Corner, VA jobs
Job Description
Task Force Talent is seeking senior-level datascientists (multiple openings) for a very well-funded Series B company working on insider threat and supply chain security problems. We have an extremely good relationship with this client and work directly with the CTO, who has started several companies and had multiple successful exits, including an IPO. We have placed quite a few engineers at this firm over the last year, and everyone we have placed is extremely happy. (Even those who did not get an offer were left with very positive impressions.) Target salary range is 120k to 250k+ as well as equity; comp packages depend on experience level and location. (Note: At $170k base salary or above, generally candidates need 5+ years of experience and a very strong interview.)
The company is profitable and growing fast with approximately 100+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT. The work environment is hybrid, typically 3 days/week in the office so people know each other, but those hours are flexible to accommodate family/childcare and traffic.
The benefits are great and include:
Company Equity Options and 401(k) Plan
Unlimited PTO and Wellness Reimbursement
U.S. Holidays
Paid Parental Leave
Comprehensive Insurance (Medical, Dental, and Vision)
This company is completely private sector, no security clearance required. However, employment is open to U.S. citizens only at this time. If you apply but this company is not a fit, we will consider you for other available positions as well.
Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: *****************************************
(Terms and conditions apply.)
_____________________________________________________________________________________________________________________________________
About us:
Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you!
If you don't see the perfect fit, simply use our general application at: ****************************************************************************************
_______________________________________________________________________________________________________________________________________________
Qualifications
U.S. Citizen
Any scientific or engineering background with strong software skills and experience
Comfortable and experienced with coding (Python, SQL, R, etc.), statistical models, and data challenges.
Note: These data science positions have significant coding components. To be competitive in the technical interviews, candidate experience should extend beyond building dashboards.
Experience creating and implementing methods for production processing environment
Solid teamwork, time management, and collaboration skills
5+ years experience
BONUS: Foreign language fluency, particularly languages associated with threat actors
______________________________________________________________________________________________________________________________________
Interview Process
This company typically has a phone screen, followed by a take-home coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks.
$170k yearly 23d ago
Data Scientist I
Terracon 4.3
Olathe, KS jobs
General Responsibilities: Responsible for the development of predictive models and algorithms used for the automation of critical business functions. Explore and analyze information from multiple sources in order to gain maximum insight that can give the company a competitive advantage.
Essential Roles and Responsibilities:
* Implement and validate predictive models as well as create and maintain statistical models.
* Perform data analysis from multiple data sources and derive meaningful insights from a variety of data sources.
* Execute full modeling life cycle including data cleansing, feature creation and iterative model selection.
* Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms.
* Regularly participate in Agile ceremonies including daily scrum, refinement, sprint planning and retrospectives.
* Make suggestions for process improvements.
* Follow safety rules, guidelines and standards for all projects. Participate in pre-task planning. Report any safety issues or concerns to management.
* Maintain quality standards on all projects.
Requirements:
* Bachelor's degree in statistics, mathematics, economics, computer science, or related technical discipline and 3-year relevant experience. Or, in lieu of a degree, a minimum of 7 years' related experience.
* Experience in applying statistics, machine learning, algorithms development, predictive modeling and advanced mathematics to solve complex problems.
* Understanding and ability to use programming languages.
* Valid driver's license with acceptable violation history.
About Terracon
Terracon is a 100 percent employee-owned multidiscipline consulting firm comprised of more than 8,000 curious minds focused on solving engineering and technical challenges from more than 200 locations nationwide. Since 1965, Terracon has evolved into a successful multi-discipline firm specializing in environmental, facilities, geotechnical, and materials services. Terracon's growth is due to our talented employee-owners exceeding expectations in client service and growing their careers with new and exciting opportunities in the marketplace.
Terracon's vision of "Together, we are best at people" is demonstrated through our excellent compensation and benefits package. Based on eligibility, role and job status, we offer many programs including medical, dental, vision, life insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus programs.
EEO Statement
Terracon is an EEO employer. We encourage qualified minority, female, veteran and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment, or any employee because of race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender, disability, age, or military status.
$58k-78k yearly est. 5d ago
Data Scientist II
Clear 4.4
New York jobs
Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR's identity platform is transforming the way people live, work, and travel. Whether it's at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.
As CLEAR continues to scale, we're deepening our investment in the data science ecosystem that powers our products, personalization, and decision-making. We're looking for a DataScientist to design, develop, and deploy advanced statistical and machine learning models that drive measurable business impact on our digital identity platform. This is a hands-on individual contributor role for someone who blends strong modeling expertise, exceptional Python engineering craft, familiarity with modern ML tooling, and a passion for translating complex data into clear, actionable intelligence. You'll build and operationalize models that help CLEAR understand, predict, and optimize behavior across our digital identity platform delivering insights and automation that scale.
What You'll Do:
Evolve CLEAR's predictive modeling ecosystem: design, train, and optimize statistical and machine learning models for our digital identity platform that support product, risk, fraud, operations, and member experience teams.
Develop high-quality production code including enhancements to feature engineering pipelines, model training workflows, and evaluation frameworks that meet reliability and performance standards.
Partner with Data Engineering and ML Platform teams to deploy models into production and ensure real-time and batch inference systems run efficiently.
Advance CLEAR's AI & ML capabilities by designing reusable modeling components, improving model documentation, and contributing to a roadmap for integrating ML into core products and decision flows.
Improve experimentation and insight generation by building robust tooling and analytical frameworks, designing statistical tests, and synthesizing results into clear and actionable recommendations for cross-functional teams.
What You Bring:
3+ years of experience in data science, machine learning, or applied statistics within a modern cloud data environment like AWS Sagemaker.
Advanced Python with deep experience in scientific libraries (e.g. pandas, NumPy, SciPy, matplotlib), machine learning frameworks (e.g. scikit-learn, XGBoost, LightGBM, pytorch), and model evaluation tooling.
SQL skills and experience working with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift).
Experience with modern ML workflow tools (e.g., Airflow, Dagster, MLflow, Vertex / SageMaker, Voxel 51).
Understanding of statistical methods, experiment design, data cleansing, feature engineering, and model interpretability.
Experience deploying production models and maintaining them through their lifecycle (monitoring, retraining, performance management).
Strong communication and storytelling skills; you can translate complex data science work into insights and decisions.
A proactive, curious mindset with a passion for standardization, repeatability, and scaling high-quality modeling practices.
Why You'll Love This Role:
High-impact: Your models and insights will shape decision-making and member experiences across CLEAR.
Craft + influence: Blend hands-on modeling with the opportunity to set the bar for data science excellence company-wide.
Mission-driven culture: Help build trusted, secure, frictionless experiences for millions.
Autonomy: Build cutting-edge solutions while helping to guide best practices
Culture that moves: We value curiosity, iteration, direct feedback, and bold thinking.
How You'll be Rewarded:
At CLEAR, we help YOU move forward - because when you're at your best, we're at our best. You'll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs.
We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $150,000 -$180,000, depending on levels of skills and experience.
The base salary range represents the low and high end of CLEAR's salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR's total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units
CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.
We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a ****************** email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.
#LI-Onsite
$150k-180k yearly Auto-Apply 26d ago
Data Scientist
Los Angeles Sparks 4.4
Los Angeles, CA jobs
The Los Angeles Sparks are seeking a DataScientist to help elevate the team's competitive decision-making through statistical modeling, automated reporting, and data-driven insights. This role works closely with coaches, scouts, performance staff, and front-office leadership to deliver actionable analysis that supports coaching, player evaluation, roster construction, and player development. The ideal candidate is a strong quantitative thinker with basketball domain knowledge, experience working with complex datasets, and the ability to turn data into clear, impactful insights used in realistic basketball solutions. This position reports to the Assistant General Manager, Research & Development.
PRINICIPAL DUTIES AND RESPONSIBILITIES:Applied Basketball Analytics
Develop predictive models to support player evaluation, lineup optimization, scouting, in-game strategy, and roster management
Analyze player tracking data, play-by-play, and event-level datasets to uncover performance trends and competitive advantages
Design analytical reports, visualizations, and tools used by coaches, scouts, and front-office staff
Modeling & Statistical Research
Build and validate models for player evaluation, player development, skill-specific growth, and opponent scouting
Conduct research on new basketball metrics and methodologies that enhance internal evaluations
Maintain reproducible research workflows and documentation
Data Integration & Engineering Collaboration
Partner with the Data Engineering team to define data needs, improve infrastructure, and ensure reliable, well-structured datasets for analytics
Build features, transformations, and metrics for use in models and internal reports
Integrate league providers (Second Spectrum, Synergy, etc.) into an internal data synthesis and reporting structure
Cross-Functional Impact
Prepare clear, concise explanations of analytical findings for scouts, leadership, and coaches
Support the main decision-making periods needed throughout the season (Free Agency, Draft, and Staffing)
Work collaboratively across Basketball Operations to create a data-driven environment
KNOWLEDGE, SKILLS AND ABILITIES:
Ability to translate complex data into clear, accessible insights for non-technical audiences
Passion for basketball analytics and familiarity with modern metrics and concepts
Ability to work flexible hours during the WNBA season including evenings, weekends and holidays
MINIMUM REQUIREMENTS:
Education & Certification
Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Computer Science, or related quantitative field preferred.
Experience
2+ years of professional experience in data science or related fields
● Strong proficiency in R or Python and SQL.● Experience building statistical or machine learning models on real-world datasets.● Experience building data viz (ggplot2, grobblR, Plotly, Shiny, Dash, etc.)
Preferred
Experience with basketball-specific data sources such as tracking data, video logs, or advanced play-by-play
Familiarity with cloud analytics environments (AWS, GCP, or Azure)
Knowledge of Bayesian modeling, optimization techniques, or time-series forecasting
Prior experience working in professional or collegiate sports analytics
Compensation commensurate with experience; minimum starting salary $100,000
This job description in no way states or implies that these are the only duties to be performed by the employee in this position. It is not intended to give all the details or a step-by-step account of the way each procedure or task is performed. The incumbent is expected to perform other duties necessary for the effective operation of the department.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform critical job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
$100k yearly 4d ago
Data Scientist - Property/Casualty
Farm Bureau Financial Services 4.5
West Des Moines, IA jobs
Farm Bureau is looking for a strong data driven professional to join our team and help us live out our mission of protecting livelihoods and futures. In this role, you will perform statistical analysis as part of the predictive modeling team and assist in the delivery of pricing models and competitive research. Candidate must be local to the Des Moines area, or willing to relocate as at least three days in the office is required per week. Candidates must also have predictive modeling or actuarial experience.
Who We Are: At Farm Bureau Financial Services, we make insurance simple so our client/members can feel confident knowing their family, home, cars and other property are protected. We value a culture where integrity, teamwork, passion, service, leadership and accountability are at the heart of every decision we make and every action we take. We're proud of our more than 80-year commitment to protecting the livelihoods and futures of our client/members and creating an atmosphere where our employees thrive.
What You'll Do:
* Develop, implement, and document predictive models
* Interpret results to audiences of various technical knowledge
* Test, validate, and correct / clean data as needed
* Collaborate with managing actuaries on the pricing teams to deliver results
What It Takes to Join Our Team:
* College degree plus 3 years predictive modeling experience required.
* Property Casualty experience preferred.
* Must have strong skills with SQL, R, Emblem or other predictive modeling software.
* Be team focused and be able to work in a collaborative work environment.
* Strong communication and presentation skills.
What We Offer You: When you're on our team, you get more than a great paycheck. You'll hear about career development and educational opportunities. We offer an enhanced 401K with a match, low-cost health, dental, and vision benefits, and life and disability insurance options. We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun. Add to that an onsite wellness facility with fitness classes and programs, a daycare center, a cafeteria, and for many positions, even consideration for a hybrid work arrangement. Farm Bureau....where the grass really IS greener!
Work Authorization/Sponsorship
Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status.
$65k-89k yearly est. 21d ago
Senior Data Scientist/Analyst
JMA Solutions 3.7
Oklahoma City, OK jobs
JMA Solutions has an opportunity available for a Senior DataScientist/Analyst supporting the Federal Aviation Administration (FAA) National Airspace System (NAS) NAS Defense Programs (NDP) Engineering Air Route Radar Systems, located ONSITE in Oklahoma City, OK. This position plays a critical role in supporting the operational health of industrial control systems and ensuring efficient, safe, and reliable system operations.
Duties include, but are not limited to:
Develop, maintain, and enhance operational health metrics and key performance indicators (KPIs) for industrial control systems.
Analyze radar data, operational execution data, inventory data, and other datasets to identify trends, patterns, and opportunities for operational improvements.
Create predictive models, statistical analyses, and data visualizations to support decision-making and operational strategies.
Design real-time monitoring tools to track critical system metrics and proactively identify potential issues.
Collaborate with engineers, operations teams, and stakeholders to align data insights with business objectives.
Oversee data integration from multiple sources, ensuring quality, accuracy, and usability for analytics.
Continuously evaluate and refine analytics processes, adapting to evolving technology and business needs.
Prepare detailed reports and documentation of analytical findings and recommendations for leadership.
Additional Job Functions:
The contractor may use external resources (including but not limited to):
Official documentation for technologies and platforms (e.g., AWS, Azure, Google Cloud).
Developer guides and tutorials from reputable sources like GitHub, Stack Overflow, and industry reports.
Research publications providing insights into best practices for enterprise applications.
Forums and groups offering troubleshooting support, programming insights, and professional advice.
The contractor must adhere to the following best practices (including but not limited to):
Code Quality:
Regular peer code reviews to ensure quality and maintainability.
Utilize static analysis tools like SonarQube to detect potential issues.
Continuous Integration/Continuous Deployment (CI/CD):
Use tools like Jenkins and GitLab CI for automated testing and deployment.
Implement containerization and orchestration using Docker and Kubernetes.
Project Management:
Follow Agile methodologies such as Scrum and Kanban.
Utilize tracking tools like JIRA and Trello for task management and progress tracking.
Requirements
Data Science and Statistical Analysis
System Performance Monitoring
Application Development and UI/UX Design
Predictive Analytics and Anomaly Detection
Database Administration (SQL, AWS, Azure, etc.)
Data Engineering and ETL Processes
Machine Learning and AI Frameworks
Agile Development and Project Management
Education: Position requires a Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field, with 8+ years of relevant experience in data analytics and system optimization.
Security Clearance: Must have the ability to obtain and maintain a Secret Clearance (U.S. citizenship required).
Salary: $125,000 - $135,000 depending on experience and education level. JMA Solutions offers a full benefits package, including vision, health, and dental coverage, as well as a 401(k) match and life insurance.
JMA Solutions is an equal opportunity/affirmative action employer and does not discriminate against any applicant for employment on the basis of race, color, religion, sex, age, national origin, veteran status, or physical impairment.
$125k-135k yearly 60d+ ago
Data Scientist
City of New York 4.2
New York, NY jobs
The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The NYPD strives to foster a safe and fair city by incorporating Neighborhood Policing into all facets of Department operations and solve the problems that create crime and disorder through an interdependent relationship between the people and its police, and by pioneering strategic innovation.
*The Office of Management Analysis and Planning (OMAP) is seeking a skilled and highly motivated DataScientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a "think tank," OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.
*A successful candidate will contribute to the section mission by designing and developing data science services that solve Department challenges. They also will harmonize analysis and research to advise leadership on policy and improve Department decision making. Key responsibilities include experience with Python and machine learning; the ability to work with both structured and unstructured datasets (e.g. text, geospatial, network data); and the ability to write clean code to integrate data science services with business intelligence tools. Strong project management and interpersonal skills are required.
WORK LOCATION:
1 Police Plaza, N.Y. 10038
HOURS/SHIFT:
Monday - Friday 8 x 4 or 10 x 6
TO APPLY
Click the 'Apply' button, or visit: ************************ and search for Job ID #759884
ADDITIONAL INFORMATION:
In compliance with federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.
CITY RESEARCH SCIENTIST - 21744
Qualifications
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.
Additional Information
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
$74k-100k yearly est. 4d ago
Junior Data Scientist
City of New York 4.2
New York, NY jobs
The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The NYPD strives to foster a safe and fair city by incorporating Neighborhood Policing into all facets of Department operations and solve the problems that create crime and disorder through an interdependent relationship between the people and its police, and by pioneering strategic innovation.
The Office of Management Analysis and Planning (OMAP) analyzes and evaluates Departmental policies, programs, and resources to make recommendations to the Police Commissioner in order to ensure maximum organizational efficiency and effectiveness of the Department. OMAP is the research and assessment arm of the Department, comprised of both uniformed and civilian members of the service with a wide variety of academic and professional experiences. OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department (e.g., personnel deployments. resource allocation), develops complex pilot projects, formulates policy recommendations and prepares briefing materials for the Police Commissioner on a wide range of legislative and procedural issues.
The Office of Management Analysis and Planning (OMAP) is seeking a highly motivated Junior DataScientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a "think tank", OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.
A successful candidate will contribute to the section mission by developing data science services that solve Department challenges. They will also harmonize analysis and research to advise leadership on policy and improve Department decision making. Key responsibilities include experience with Python and machine learning, the ability to work with both structured and unstructured datasets (e.g. text, geospatial, network data), and the ability to write clean code to integrate data science services with business intelligence tools. Strong project management and interpersonal skills are required.
WORK LOCATION:
1 Police Plaza. N.Y. 10038
HOURS/SHIFT:
Monday - Friday 8 x 4 or 10 x 6
TO APPLY
Click the 'Apply' button, or visit: ************************ and search for Job ID #759878
ADDITIONAL INFORMATION:
In compliance with federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.
CITY RESEARCH SCIENTIST - 21744
Qualifications
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.
Additional Information
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
$74k-100k yearly est. 4d ago
Data Scientist
American Bureau of Shipping 4.8
Houston, TX jobs
The DataScientist analyzes the complex and unstructured data using state-of-the-art data science methods for data-driven decision-making. This role uses knowledge of data science methods and applies analytics to solve real-world problems. The DataScientist will work with customers to collect and understand data, perform wrangling, develop applications, and collaborate actively across the organization and with senior management to accomplish various objectives.
What You Will Do:
Work with internal departments (Digital, Survey, Engineering, etc.) and external stakeholders to leverage data to drive organizational decision-making in areas like maintenance, service, improvements, event predictions, etc.
Utilize knowledge of modern data-driven methods and domain understanding to support the creation of new products, services, and insights.
Be able to write independent source code, validate and test for model quality assessment and improvement
Knowledge of data architectures and database design
Knowledge in applying system identification methods like Kalman filters, particle filters, etc. to real-world problems
Knowledge of machine learning and artificial intelligence methods
Develop data collection efforts for data quality improvement, in both existing and new data streams to support overall business goals
Be able to think independently and work as part of a cross-functional team to achieve common goals
Comfortable working independently on data engineering, pre-processing, and data preparation tasks to prepare data for further analysis
Generate Intellectual Property for the company
Evaluate and partner with external customers, vendors, university relations, and other teams
Stay current in the field of advanced analytics and take initiative to apply new technologies
What You Will Need:
Education and Experience
Bachelor's degree in data science, Statistics, Computer Science, Engineering, or another relevant field degree required
Master's degree in Data Science, Statistics, Computer Science, Engineering, or another relevant field preferred
Minimum 0-4 years of relevant experience in data/analytics.
Knowledge, Skills, and Abilities
Ability to develop a working knowledge of ABS Rules, Guides, statutory regulations, and related instructions, as well as the ABS Employee Safety Policy.
Strong written and verbal communications skills
Experience in working as part of multi-faceted teams
Experience in System Identification, Machine Learning, and other data science technologies such as Artificial Intelligence, Risk Analysis, and Statistical methods
Specialties in utilizing data in developing physics-based and time-series models
Experience with applications such as Python, MATLAB, R, or similar
Familiarity with database architectures such as SQL, NoSQL, or similar
Familiarity with distributed storage and processing for Big Data (e.g., Hadoop or similar)
Ability to quickly adapt and learn new domain
Display an entrepreneurial mindset and think practical, ‘out of box' solutions
Obtain a working knowledge of the ABS Health, Safety, Quality, and Environmental Management Systems.
Reporting Relationships:
Reports directly to the Chief DataScientist or a Manager, Director, or Executive role.
Notice:
This position requires access to information that is subject to control by the Export Administration Regulations and/or the International Traffic in Arms Regulations. Any offer of employment shall be contingent upon the Company's verification that the candidate is a “U.S. Person” or upon the receipt of all necessary export licenses or authorizations that may be required by U.S. export control laws. “U.S. Persons” are defined as U.S. citizens, U.S. lawful permanent residents (i.e., “green card” holders), or any individual granted protected status under the Immigration and Nationality Act (8 U.S.C. § 1324b(a)(3)), including asylees and refugees. In the event a candidate refuses or cannot otherwise provide the necessary information for the Company to determine whether such licenses may be required, or for the Company to obtain any required licenses, the Company shall maintain the exclusive right to discontinue the application process and/or withdraw any contingent offer that has been made.
$72k-100k yearly est. Auto-Apply 7d ago
Data Scientist, Staff
American Bureau of Shipping 4.8
Houston, TX jobs
The Staff DataScientist plays a pivotal role in embedding intelligent agents into the very fabric of our product strategy. We believe that agentic AI is a cornerstone of our future offerings, driving innovation across our three key portfolios: safety, sustainability, and performance. In this role, you will guide the development and integration of agent-based solutions, ensuring they become a natural and powerful element of how we deliver value to our customers.
What You Will Do:
Lead the vision, strategy, and execution of enterprise-scale data science and AI initiatives, with emphasis on agentic AI solutions that deliver measurable business value.
Architect, develop, and deploy advanced AI/ML models and intelligent agent systems, ensuring scalability, interpretability, and alignment with organizational priorities.
Drive cross-functional adoption of AI capabilities by influencing product roadmaps, setting technical standards, and ensuring consistent integration across portfolios.
Partner with executive leadership to identify and prioritize high-impact AI opportunities that align with corporate goals in safety, sustainability, and performance.
Serve as a principal technical authority and mentor for senior datascientists, fostering a culture of innovation, ethical AI use, and technical excellence.
Translate complex AI concepts into actionable strategies for non-technical stakeholders, enabling informed decision-making at all levels.
Lead design and implementation of enterprise-grade data architectures, pipelines, and platforms that enable rapid experimentation and deployment.
Oversee the development and governance of AI/ML model lifecycle management, from prototyping through monitoring and continuous improvement.
Collaborate with industry partners, academic institutions, and technology providers to bring cutting-edge AI techniques into production environments.
Ensure all AI-driven solutions meet rigorous standards for data quality, fairness, transparency, and regulatory compliance.
Direct the evaluation and integration of emerging AI tools, frameworks, and methodologies, including generative AI and large language models.
Champion Agile and iterative delivery practices tailored for AI/ML development, ensuring rapid feedback and continuous learning.
Generate intellectual property through novel AI approaches, patents, and publications that position the organization as a thought leader.
Lead post-deployment analysis to measure the impact of AI initiatives and guide future investments. Develop and deploy scalable and interpretable data products per the business-defined requirements.
What You Will Need:
Education and Experience
Required - At least 6 to 8 years of experience in data science, computer science, information systems, engineering, or other relevant fields, including a proven track record in applied AI and machine learning.
Preferred - 1+ years of experience specifically in agentic AI or similar emerging agent frameworks
Required - Bachelor's degree in data science, computer science, information systems, engineering, or a closely related field.
Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering, or a closely related field.
Knowledge, Skills, and Abilities
Demonstrated mastery in developing and deploying agentic AI solutions and a proven track record of integrating AI-driven agents into large-scale products.
Expert-level proficiency in machine learning, statistical modeling, and AI frameworks, including but not limited to Python, PyTorch, and Azure AI services.
Strong capability to lead and mentor senior datascientists and cross-functional teams in AI best practices and ethical AI deployment.
Ability to translate complex AI and data science concepts into actionable business strategies and clear recommendations for non-technical stakeholders.
Advanced experience with generative AI and large language models, and the ability to leverage these technologies to create scalable, interpretable, and business-aligned AI solutions.
Strong proficiency in designing and overseeing complex data architectures and pipelines, ensuring robust data governance and quality.
Proven ability to drive innovation and generate intellectual property through the application of novel AI techniques.
Ability to stay at the forefront of the field by continuously learning and applying the latest advancements in AI and data science.
Display an entrepreneurial mindset and the ability to devise practical, out-of-the-box solutions to complex business challenges.
Establish organizational AI governance frameworks that define ethical guidelines, performance metrics, and compliance standards for all AI-driven initiatives.
Shape the external perception of the organization's AI leadership through keynote speaking, industry working group participation, and thought leadership publications.
Secure strategic partnerships with technology vendors, startups, and research institutions to accelerate the adoption of transformative AI capabilities.
Working knowledge of the ABS Health, Safety, Quality, and Environmental Management System.
Reporting Relationships:
Reports to a Data Analytics Manager.
Notice:
This position requires access to information that is subject to control by the Export Administration Regulations and/or the International Traffic in Arms Regulations. Any offer of employment shall be contingent upon the Company's verification that the candidate is a “U.S. Person” or upon the receipt of all necessary export licenses or authorizations that may be required by U.S. export control laws. “U.S. Persons” are defined as U.S. citizens, U.S. lawful permanent residents (i.e., “green card” holders), or any individual granted protected status under the Immigration and Nationality Act (8 U.S.C. § 1324b(a)(3)), including asylees and refugees. In the event a candidate refuses or cannot otherwise provide the necessary information for the Company to determine whether such licenses may be required, or for the Company to obtain any required licenses, the Company shall maintain the exclusive right to discontinue the application process and/or withdraw any contingent offer that has been made.
$72k-100k yearly est. Auto-Apply 19d ago
Data Scientist
Partner Engineering and Science 4.1
Torrance, CA jobs
ABOUT US
At PARTNER, success starts with the right mindset: connection, compassion, and curiosity. Whether consulting with clients or collaborating with colleagues, these principles guide how we work. We deliver engineering, environmental, and energy consulting, plus design services across the Americas, Europe, and beyond. As a leader in Commercial Real Estate (CRE), we're 1,400+ professionals strong in 40+ offices. Our mission is simple: create the best home for talented professionals. If you value delivering exceptional experiences through problem-solving, coordination, and a mindset of care for clients and colleagues, you'll feel right at home. That approach has earned us recognition on ENR's Top 500 Design Firms, Inc. 5000's Fastest-Growing Companies, and Zweig's Best Firms to Work For. Here, your ideas matter, your impact is real, and your work helps shape the future. Check out this role and join our team of talented professionals!
Learn more about Partner at *******************
Job Overview:
Partner Engineering & Science, Inc. is seeking a highly analytical and business-savvy DataScientist. You will be instrumental in transforming financial and operational data into actionable insights that drive strategic decision-making, improve efficiency, and support client delivery excellence. The ideal candidate will have a strong foundation in data science, statistics, and business intelligence, with a deep understanding of financial and operational metrics relevant to professional services firms. It's an exciting time to join, with extensive opportunities to learn and grow!
Responsibilities and Duties
Collaborate with IT team and business stakeholders on the full lifecycle of multiple high-profile projects.
Develop predictive and prescriptive models to support financial forecasting, resource planning, and operational efficiency.
Analyze large datasets from ERP, CRM, and time tracking systems to identify trends, anomalies, and opportunities.
Build and maintain financial models to support budgeting, scenario planning, and profitability analysis.
Design and automate dashboards and reports using tools like Power BI, Tableau, or Looker.
Deliver insights to stakeholders through clear visualizations and storytelling.
Ensure data accuracy and consistency across reporting platforms.
Collaborate with IT and data engineering teams to ensure data pipelines are robust, scalable, and secure.
Maintain documentation and data dictionaries for all models and reports.
Qualifications
Bachelor's or Master's degree in Data Science, Statistics, Finance, Economics, Computer Science, or related field.
5+ years of experience in a data science or analytics role, preferably within a professional services or consulting firm.
Proficiency in Python, R, or SQL for data analysis and modeling.
Experience with BI tools (Power BI, Tableau, etc.).
Familiarity with financial systems (e.g., NetSuite, SAP, Oracle) and operational platforms.
Knowledge of cloud platforms (Azure, AWS, GCP) is a plus.
Knowledge of data warehouse technology such as Snowflake, Data Bricks, or Google Big Query
Ability to read and modify SQL queries
Experience with machine learning techniques applied to financial forecasting or operational optimization.
Understanding of professional services metrics such as utilization, billability, margin, and revenue recognition.
Exposure to Agile methodologies and data governance practices.
Excellent communication skills (internal and external).
Experience working in a secure environment and familiar with security concepts.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Proven ability to successfully deliver a quality product on time
Thrives in dynamic, fast-paced, and ambiguous environments, demonstrating adaptability and resilience.
Self-starter with the ability to work independently, prioritize effectively, and manage multiple projects without direction.
Exceptional communication skills coupled with strong critical thinking and problem-solving abilities and the ability to interface confidently with executives.
Flexible and adaptable work style, with a willingness to adjust to changing priorities and business needs.
PHYSICAL REQUIREMENTS
Must be able to read, write, speak & comprehend English
Must be able to communicate clearly in person and over the telephone
Visual acuity adequate to perform job duties, including reading information from printed sources and computer screen
Compensation:
Salary range: $110,000 - 140,000. This is what we reasonably expect to pay for the role
The pay scale for this role considers a wide range of factors when making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs. Please note, the disclosed pay scale estimate has not been adjusted for the applicable geographic location where the position may be filled. You may also be eligible to participate in a discretionary incentive bonus program which is dependent on various factors, including, but not limited to individual and organizational performance.
Equal Employment Opportunity
It is Partner Engineering and Science, Inc's (The Company) policy is to provide equal employment opportunity for all applicants and employees. The company maintains a work environment that is free of harassment, discrimination, or retaliation based on an individual's race (including, but not limited to, hair texture and protective hairstyles such as braids, locks, and twists), color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender (including gender identity and gender expression), age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), reproductive health decision making, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws.
We will consider qualified applicants who have criminal histories in a manner consistent with the law.
California Consumer Privacy Act
We collect personal information from you in connection with your application for employment with Partner Engineering and Science, Inc. For details on what personal information we collect and the purposes for which we collect it, please visit:
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$110k-140k yearly 14d ago
Data Scientist, Staff
American Bureau of Shipping 4.8
Spring, TX jobs
The Staff DataScientist plays a pivotal role in embedding intelligent agents into the very fabric of our product strategy. We believe that agentic AI is a cornerstone of our future offerings, driving innovation across our three key portfolios: safety, sustainability, and performance. In this role, you will guide the development and integration of agent-based solutions, ensuring they become a natural and powerful element of how we deliver value to our customers.
What You Will Do:
Lead the vision, strategy, and execution of enterprise-scale data science and AI initiatives, with emphasis on agentic AI solutions that deliver measurable business value.
Architect, develop, and deploy advanced AI/ML models and intelligent agent systems, ensuring scalability, interpretability, and alignment with organizational priorities.
Drive cross-functional adoption of AI capabilities by influencing product roadmaps, setting technical standards, and ensuring consistent integration across portfolios.
Partner with executive leadership to identify and prioritize high-impact AI opportunities that align with corporate goals in safety, sustainability, and performance.
Serve as a principal technical authority and mentor for senior datascientists, fostering a culture of innovation, ethical AI use, and technical excellence.
Translate complex AI concepts into actionable strategies for non-technical stakeholders, enabling informed decision-making at all levels.
Lead design and implementation of enterprise-grade data architectures, pipelines, and platforms that enable rapid experimentation and deployment.
Oversee the development and governance of AI/ML model lifecycle management, from prototyping through monitoring and continuous improvement.
Collaborate with industry partners, academic institutions, and technology providers to bring cutting-edge AI techniques into production environments.
Ensure all AI-driven solutions meet rigorous standards for data quality, fairness, transparency, and regulatory compliance.
Direct the evaluation and integration of emerging AI tools, frameworks, and methodologies, including generative AI and large language models.
Champion Agile and iterative delivery practices tailored for AI/ML development, ensuring rapid feedback and continuous learning.
Generate intellectual property through novel AI approaches, patents, and publications that position the organization as a thought leader.
Lead post-deployment analysis to measure the impact of AI initiatives and guide future investments. Develop and deploy scalable and interpretable data products per the business-defined requirements.
What You Will Need:
Education and Experience
Required - At least 6 to 8 years of experience in data science, computer science, information systems, engineering, or other relevant fields, including a proven track record in applied AI and machine learning.
Preferred - 1+ years of experience specifically in agentic AI or similar emerging agent frameworks
Required - Bachelor's degree in data science, computer science, information systems, engineering, or a closely related field.
Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering, or a closely related field.
Knowledge, Skills, and Abilities
Demonstrated mastery in developing and deploying agentic AI solutions and a proven track record of integrating AI-driven agents into large-scale products.
Expert-level proficiency in machine learning, statistical modeling, and AI frameworks, including but not limited to Python, PyTorch, and Azure AI services.
Strong capability to lead and mentor senior datascientists and cross-functional teams in AI best practices and ethical AI deployment.
Ability to translate complex AI and data science concepts into actionable business strategies and clear recommendations for non-technical stakeholders.
Advanced experience with generative AI and large language models, and the ability to leverage these technologies to create scalable, interpretable, and business-aligned AI solutions.
Strong proficiency in designing and overseeing complex data architectures and pipelines, ensuring robust data governance and quality.
Proven ability to drive innovation and generate intellectual property through the application of novel AI techniques.
Ability to stay at the forefront of the field by continuously learning and applying the latest advancements in AI and data science.
Display an entrepreneurial mindset and the ability to devise practical, out-of-the-box solutions to complex business challenges.
Establish organizational AI governance frameworks that define ethical guidelines, performance metrics, and compliance standards for all AI-driven initiatives.
Shape the external perception of the organization's AI leadership through keynote speaking, industry working group participation, and thought leadership publications.
Secure strategic partnerships with technology vendors, startups, and research institutions to accelerate the adoption of transformative AI capabilities.
Working knowledge of the ABS Health, Safety, Quality, and Environmental Management System.
Reporting Relationships:
Reports to a Data Analytics Manager.
Notice:
This position requires access to information that is subject to control by the Export Administration Regulations and/or the International Traffic in Arms Regulations. Any offer of employment shall be contingent upon the Company's verification that the candidate is a “U.S. Person” or upon the receipt of all necessary export licenses or authorizations that may be required by U.S. export control laws. “U.S. Persons” are defined as U.S. citizens, U.S. lawful permanent residents (i.e., “green card” holders), or any individual granted protected status under the Immigration and Nationality Act (8 U.S.C. § 1324b(a)(3)), including asylees and refugees. In the event a candidate refuses or cannot otherwise provide the necessary information for the Company to determine whether such licenses may be required, or for the Company to obtain any required licenses, the Company shall maintain the exclusive right to discontinue the application process and/or withdraw any contingent offer that has been made.
$72k-100k yearly est. Auto-Apply 19d ago
Data Scientist
Bureau of National Affairs 4.7
Arlington, VA jobs
You are a research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, graphical models, summarization, information retrieval, recommend systems, and/or knowledge graphs. You will bring new ideas, evangelizing them, and shepherding their adoption within the team. You extract and identify relevant, meaningful, and actionable information from structured and unstructured data in real-time and provide advanced ways of accessing this data (such as search, summarization, and recommendations).
What you will do:
* Write code (Python, R, SQL, Java, etc.) to obtain, clean, manipulate, and analyze data.
* Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
* Analyze historical data to identify trends and support optimal decision making.
* Build machine learning and statistical models to solve specific business problems.
* Leverage AI/LLM frameworks to develop internal and external solutions.
* Identify opportunities for improving workflows to increase data quality, accuracy, and timeliness.
* Design experiments to test hypotheses and measure the effectiveness of solutions.
* Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Determine why such examples are outliers and if action is needed.
* Work across teams to deliver enhancements, features, and time-sensitive projects.
* Deliver reports or presentations to share insights to audiences of varying levels of technical sophistication.
You need to have:
* Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
* 5-7 years of experience working with large projects and diverse data sets, including preprocessing, cleansing, and verifying the integrity of data.
* Proficiency in Python and SQL, R, or Java, and experience with data analysis libraries (pandas, NumPy, scikit-learn).
* Experience with data visualization tools (Tableau, Power BI, QuickSight, matplotlib, seaborn).
* Experience with Database Management Systems (Oracle, PostgreSQL, MySQL, Redshift, etc.).
* Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker), cloud-based computing (Apache Solr, Lucene, or Elasticsearch).
* Knowledge of descriptive and inferential statistics, regression, supervised and unsupervised learning methods, multivariate and univariate hypothesis testing.
* Strong problem-solving and analytical skills.
* Excellent communication skills and willingness to learn from senior team members.
* Effective project management skills and ability to prioritize tasks.
* Ability to work quickly, accurately, and efficiently in a fast-paced environment with shifting priorities.
Equal Opportunity
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").
$74k-107k yearly est. Auto-Apply 45d ago
Data Scientist
Professional Solutions 1 LLC 3.7
North Carolina jobs
Candidate will conduct exploratory data analysis, statistical analysis, and concept studies to define requirements, evaluate alternative analytical approaches, and estimate the value associated with data-driven projects.in support of 2d MarDiv.
The candidate must have the ability to operate effectively under pressure adhering to the ProSol Core Values of
Agility:
rapid adaptation to the changing requirements and environment of our clients;
Excellence:
Service quality that exceeds the expectations of our clients;
Integrity:
Accountability and honesty−always doing the right thing; and
Long-Term Commitment:
Unquestioned loyalty and dedication to our clients, partners and employees.
Responsibilities:
Assist in applying various validation techniques to demonstrate that a model, algorithm, or analytical system performs according to the objectives outlined in the original design.
Clean, aggregate, and transform large, structured, and unstructured datasets to prepare them for analysis.
Assist the division in identifying promising internal and external data sources that could be integrated and utilized to enhance operational effectiveness and efficiency.
Assist the division in data science project management to ensure key development milestones (e.g., data acquisition, model training, validation, deployment) are planned for, executed, and documented.
Analyze the division's existing data infrastructure and processes to identify opportunities for improvement and to assess readiness for advanced analytical models.
Possess a detailed understanding of the organizational structure, command relationships, and missions within the division, as well as the knowledge of how these organizations collaborate to achieve data-driven objectives.
Typical associated tasks include, but are not limited to requirements analysis, developing machine learning models, statistical modeling, data visualization, organizational performance assessment, special studies, and analysis, cost-performance trade-off analysis, feasibility analysis, regulatory compliance support, conceptual data model designs, and training.
Conduct training sessions for uniformed members of the division on the use of various data science, analytics, and AI/ML tools and methodologies to improve data literacy and operational effectiveness across the force.
Given a list of operational objectives, the DataScientist shall develop and apply statistical and machine learning models to generate insights and predictive forecasts. Results and methodologies shall be presented to the division.
Provide programmatic information regarding the data sources, analytical tools, and modeling techniques used, including (if available) model performance metrics, limitations, and potential for operational integration. This information will enable the component to render an informed decision on the appropriate level of interest and trust in the analytical product.
Attend various meetings and conferences to articulate validated division data requirements and to recommend division perspectives on data and AI/ML development efforts.
Provide the division with required market research on emerging data science technologies and a detailed analysis of alternatives for analytical tools and platforms.
Shall be capable of providing detailed recommendations on model design, prototype development, algorithm development, and technical and combat evaluation activities for the division
Education & Experience:
Minimum 3+ years' experience
Minimum BS in a computer related degree
Master's preferred
Clearance: Secret required
Work Days: Monday-Friday
Core hours: 8-hour days 7:30-4:30
Travel: TBD
Disclaimer:
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
Additional information:
ProSol is an equal opportunity employer, all interested qualified applicants are encouraged to apply, EEO/D/M/V/F. ProSol welcomes and encourages diversity in the workforce. All your information will be kept confidential according to EEO guidelines.
$44k-62k yearly est. Auto-Apply 5d ago
Senior Data Scientist, Avail
Realtor.com 3.9
Austin, TX jobs
Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance.
Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S.
Role Description
We are seeking a Senior DataScientist with a strong background in machine learning, experimentation, strategic analytics, and cross-functional stakeholder support to help shape the future of our Data Science program at Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business.
In this role, you will analyze large and complex data sets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations.
The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better.
What you'll do:
* Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems.
* If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner.
* Independently conduct end-to-end data science work from data collection, ETL, model development/analysis, to the delivery of insights and recommendations.
* Serve as Avail's Data Science expert and own experimental design and advanced statistical analysis best practices; provide consultation and collaborate closely with colleagues conducting research/experiments in product, marketing and beyond.
* Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences.
* Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making.
* Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on.
* Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work.
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
* Inclusive and Competitive medical, Rx, dental, and vision coverage
* Family forming benefits
* 13 Paid Holidays
* Flexible Time Off
* 8 hours of paid Volunteer Time off
* Immediate eligibility into Company 401(k) plan with 3.5% company match
* Tuition Reimbursement program for degreed and non-degreed programs
* 1:1 personalized Financial Planning Sessions
* Student Debt Retirement Savings Match program
* Free snacks and refreshments in each office location
What you'll bring:
* Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
* 6+ years of relevant experience as a DataScientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy).
* SQL & Python proficiency is a must, with 6+ years of experience.
* Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses.
* Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.).
* Experience with cloud-based data environments such as Snowflake and AWS.
* Proven experience using data science to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
* Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels.
* Experience in collaborating with cross-functional partners.
* Self-motivated and self-managing, with strong time management, documentation, and organizational skills.
Preferred Qualifications
* Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
* Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools.
* Familiarity with revenue or monetization analytics.
* Experience in the tech sector, especially marketplace or property tech.
Do the best work of your life at Realtor.com
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.
$74k-101k yearly est. Auto-Apply 37d ago
Data Scientist II, Senior
American Bureau of Shipping 4.8
Houston, TX jobs
The Senior DataScientist II analyzes complex structured and unstructured data using state-of-the-art data science methods for data driven decision making. Develop algorithms that enable machines to perform tasks that typically require human intelligence. Moreover, this role uses both knowledge of data science and Artificial Intelligence methods and applies them to solve real world problems. The Senior DataScientist II mentors junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization.
What You Will Do:
Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture.
Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management.
Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights.
Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance.
Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake.
Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines.
Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance.
Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps.
Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview.
Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics.
Mentor datascientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth.
Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration.
Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps.
Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning.
What You Will Need:
Education and Experience
Bachelor's Degree in Data Science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience.
Required -5 or more years of experience in Data Science, Information Systems, Computer Science, Engineering, or other field with relevant experience.
Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering or other relevant field.
Preferred - 1 or more years of work experience as a Sr DataScientist, demonstrating leadership on projects involving applied AI and Machine Learning
Knowledge, Skills, and Abilities
Strong written and verbal communications skills
Strong written and verbal communication skills, with the ability to translate complex data into actionable insights.
Experienced in working with cross-functional teams to understand business challenges and deliver data-driven solutions.
Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku.
Skilled in developing scalable ML solutions and translating analytics into business impact.
Advanced proficiency in Python, PySpark, SQL, and tools such as Jupyter, VS Code, and MLflow.
Experience with database technologies and architectures including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics.
Hands-on experience with AutoML platforms such as Dataiku, and familiarity with Azure AutoML.
Deep understanding of Azure Cloud resources, including Azure Machine Learning, Azure DevOps, Azure Cognitive Search, and Azure OpenAI.
Familiarity with Generative AI solutions, Large Language Models, and NLP frameworks like Hugging Face Transformers.
Ability to develop a working knowledge of ABS Rules, Guides, statutory regulations, and related instructions, as well as the ABS Employee Safety Policy.
It Would Be Nice If You Have:
Career Essentials in Generative AI by Microsoft and LinkedIn
Build Your Generative AI Productivity Skills with Microsoft and LinkedIn
Azure AI Fundamentals
Azure DataScientist Associate
Azure AI Engineer Associate/Databricks Certification
Reporting Relationships:
Reports to Senior Manager on Data and Analytics team
Notice:
This position requires access to information that is subject to control by the Export Administration Regulations and/or the International Traffic in Arms Regulations. Any offer of employment shall be contingent upon the Company's verification that the candidate is a “U.S. Person” or upon the receipt of all necessary export licenses or authorizations that may be required by U.S. export control laws. “U.S. Persons” are defined as U.S. citizens, U.S. lawful permanent residents (i.e., “green card” holders), or any individual granted protected status under the Immigration and Nationality Act (8 U.S.C. § 1324b(a)(3)), including asylees and refugees. In the event a candidate refuses or cannot otherwise provide the necessary information for the Company to determine whether such licenses may be required, or for the Company to obtain any required licenses, the Company shall maintain the exclusive right to discontinue the application process and/or withdraw any contingent offer that has been made.
$77k-103k yearly est. Auto-Apply 44d ago
Senior Data Scientist, Avail
Realtor.com 3.9
Scottsdale, AZ jobs
Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance.
Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S.
Role Description
We are seeking a Senior DataScientist with a strong background in machine learning, experimentation, strategic analytics, and cross-functional stakeholder support to help shape the future of our Data Science program at Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business.
In this role, you will analyze large and complex data sets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations.
The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better.
What you'll do:
* Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems.
* If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner.
* Independently conduct end-to-end data science work from data collection, ETL, model development/analysis, to the delivery of insights and recommendations.
* Serve as Avail's Data Science expert and own experimental design and advanced statistical analysis best practices; provide consultation and collaborate closely with colleagues conducting research/experiments in product, marketing and beyond.
* Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences.
* Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making.
* Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on.
* Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work.
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
* Inclusive and Competitive medical, Rx, dental, and vision coverage
* Family forming benefits
* 13 Paid Holidays
* Flexible Time Off
* 8 hours of paid Volunteer Time off
* Immediate eligibility into Company 401(k) plan with 3.5% company match
* Tuition Reimbursement program for degreed and non-degreed programs
* 1:1 personalized Financial Planning Sessions
* Student Debt Retirement Savings Match program
* Free snacks and refreshments in each office location
What you'll bring:
* Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
* 6+ years of relevant experience as a DataScientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy).
* SQL & Python proficiency is a must, with 6+ years of experience.
* Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses.
* Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.).
* Experience with cloud-based data environments such as Snowflake and AWS.
* Proven experience using data science to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
* Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels.
* Experience in collaborating with cross-functional partners.
* Self-motivated and self-managing, with strong time management, documentation, and organizational skills.
Preferred Qualifications
* Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
* Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools.
* Familiarity with revenue or monetization analytics.
* Experience in the tech sector, especially marketplace or property tech.
Do the best work of your life at Realtor.com
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.
$73k-98k yearly est. Auto-Apply 36d ago
Data Scientist II, Senior
American Bureau of Shipping 4.8
Spring, TX jobs
The Senior DataScientist II analyzes complex structured and unstructured data using state-of-the-art data science methods for data driven decision making. Develop algorithms that enable machines to perform tasks that typically require human intelligence. Moreover, this role uses both knowledge of data science and Artificial Intelligence methods and applies them to solve real world problems. The Senior DataScientist II mentors junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization.
What You Will Do:
Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture.
Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management.
Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights.
Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance.
Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake.
Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines.
Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance.
Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps.
Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview.
Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics.
Mentor datascientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth.
Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration.
Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps.
Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning.
What You Will Need:
Education and Experience
Bachelor's Degree in Data Science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience.
Required -5 or more years of experience in Data Science, Information Systems, Computer Science, Engineering, or other field with relevant experience.
Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering or other relevant field.
Preferred - 1 or more years of work experience as a Sr DataScientist, demonstrating leadership on projects involving applied AI and Machine Learning
Knowledge, Skills, and Abilities
Strong written and verbal communications skills
Strong written and verbal communication skills, with the ability to translate complex data into actionable insights.
Experienced in working with cross-functional teams to understand business challenges and deliver data-driven solutions.
Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku.
Skilled in developing scalable ML solutions and translating analytics into business impact.
Advanced proficiency in Python, PySpark, SQL, and tools such as Jupyter, VS Code, and MLflow.
Experience with database technologies and architectures including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics.
Hands-on experience with AutoML platforms such as Dataiku, and familiarity with Azure AutoML.
Deep understanding of Azure Cloud resources, including Azure Machine Learning, Azure DevOps, Azure Cognitive Search, and Azure OpenAI.
Familiarity with Generative AI solutions, Large Language Models, and NLP frameworks like Hugging Face Transformers.
Ability to develop a working knowledge of ABS Rules, Guides, statutory regulations, and related instructions, as well as the ABS Employee Safety Policy.
It Would Be Nice If You Have:
Career Essentials in Generative AI by Microsoft and LinkedIn
Build Your Generative AI Productivity Skills with Microsoft and LinkedIn
Azure AI Fundamentals
Azure DataScientist Associate
Azure AI Engineer Associate/Databricks Certification
Reporting Relationships:
Reports to Senior Manager on Data and Analytics team
Notice:
This position requires access to information that is subject to control by the Export Administration Regulations and/or the International Traffic in Arms Regulations. Any offer of employment shall be contingent upon the Company's verification that the candidate is a “U.S. Person” or upon the receipt of all necessary export licenses or authorizations that may be required by U.S. export control laws. “U.S. Persons” are defined as U.S. citizens, U.S. lawful permanent residents (i.e., “green card” holders), or any individual granted protected status under the Immigration and Nationality Act (8 U.S.C. § 1324b(a)(3)), including asylees and refugees. In the event a candidate refuses or cannot otherwise provide the necessary information for the Company to determine whether such licenses may be required, or for the Company to obtain any required licenses, the Company shall maintain the exclusive right to discontinue the application process and/or withdraw any contingent offer that has been made.
$77k-103k yearly est. Auto-Apply 44d ago
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