Data scientist jobs in Catalina Foothills, AZ - 297 jobs

Hybrid 3-4 days onsite Salary: $130,000 - $150,000 base A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business. This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams. What You'll Be Working On Designing and implementing enterprise data models across conceptual, logical, and physical layers Establishing Medallion architecture patterns and reusable modeling assets Building dimensional and semantic models that support analytics and reporting Partnering closely with domain experts and functional leaders to translate business needs into data structures Collaborating with data engineers to align models with ELT pipelines and analytics frameworks Helping define modeling standards and upskilling senior engineers in modern data modeling practices Contributing hands-on to data engineering work where needed (SQL, transformations, optimization) Proactively identifying analytics opportunities and recommending data structures to support them This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration. Must-Have Experience Strong, hands-on experience with data modeling (dimensional, canonical, semantic) Deep understanding of Medallion architecture Advanced SQL and experience working with a modern cloud data warehouse Experience with dbt for transformations and modeling Hands-on experience in cloud-native data environments (AWS preferred) Ability to work directly with business stakeholders and explain technical concepts clearly Experience collaborating closely with data engineers on execution Nice to Have Python experience Familiarity with Informatica or reverse-engineering legacy data models Exposure to streaming or near-real-time data pipelines Experience with visualization tools (tool choice is flexible) Who Will Thrive in This Role A senior individual contributor who enjoys building from scratch Someone who can act as a modeling expert and mentor in an organization formalizing this practice Comfortable working in ambiguity and taking initiative Strong communicator who enjoys partnering with both technical and non-technical teams Equally comfortable discussing business concepts and physical data models Why This Role Is Unique Greenfield data modeling initiative with real influence Opportunity to define standards that will be used across the organization Work on large-scale, real-world operational and analytical data High visibility within a growing data organization Flexible work setup for individual contributors If you're excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Tools Developer, Data Scientist to support our client's Systems Product team. This is a W-2 full-time contract based onsite in Santa Clara, CA, Austin, Tx, or Pheonix, AZ with hybrid work options. We offer competitive pay $65/hr - $75/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture! We are seeking a skilled Tools Developer/Data Scientist/Data Analyst to develop innovative solutions that enable teams within the Systems Product Team (SPT) organization to successfully execute product bring-up activities. This role also involves creating visually compelling, user-friendly dashboards that support strategic executive decision-making. Your work will focus on a wide range of data sources, including engineering logs, factory shop floor metrics, inventory data, material inputs, and production planning. You will contribute to high-impact projects that are critical to new product introductions, as well as key supply chain and manufacturing decisions. What You'll Be Doing: Build tools to be used by various engineering and program management teams. Work with raw log data (e.g., from SPLUNK, SAP other DB) Analyze engineering, product bring up execution data and other Systems Products Team data: Build plan NPI Supply/Demand/Allocation Factory Shop Floor and test data Lab asset data Collaborate with other tool teams member to create and deploy solutions (i.e. automated workflows, insightful dashboards) Big Data Analytics & Data Visualization Specialists Core Skills & Qualifications: Strong programming skills in data manipulation, analysis, and automation (Python, or similar) Experience with data processing libraries (pandas, numpy, ect) Experience with data visualization libraries (matplotlib, plotly, ect) Experience in big data analytics and data visualization. Proficiency with tools such as Splunk, Tableau, or Power BI. Strong SQL skills and experience with data modeling. Background in data processing pipelines (Spark, Kafka, or similar a plus). Preferred Experience: Background in Statistical analysis (Regressions, hypothesis testing, probability distributions, ect) Experience in Data preparation (ETL processes, data transformation, ect) Experience in cybersecurity-related analytics or operational data reporting. Building and automating dashboards for executive and technical audiences Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Data Scientist Post Available Only to Americans American, Off-grid From here, our viewpoint is that the creative staff is committed to using data to reach findings that inspire fresh ideas. Data is about far more than simply numbers for us; it's the secret to revealing latent opportunities, overcoming tough obstacles, and future industry charting. We want a data scientist driven by data who can explore datasets, identify fresh trends, and apply their knowledge to actually change things. If you enjoy the chance to spin stories out of unprocessed data, join our team! What then is your strategy? Like a detective, examine challenging data looking for trends, connections, and patterns that could support corporate strategy. Exercises your critical thinking to investigate closely and develop reasonable answers. Create and polish machine learning models capable of forecasting consumer trends and actions, therefore contributing significantly to corporate decision-making. Work creatively with others: Work collaboratively with teams in marketing, engineering, and products to grasp corporate goals and create data-driven answers to actual problems. Set up automated data pipelines. Building effective and adaptable data pipelines that automatically transfer data can help to improve the availability and value of data. Share Knowledge: Present complicated data results clearly and attractingly to technical teams and non-technical stakeholders. Your aim should be for every piece of data to be simply understandable. By always learning fresh approaches, tools, and algorithms, keep ahead of the curve. You will make sure we remain competitive always by keeping us at the forefront of data practice innovation. Finding and resolving discrepancies helps one to guarantee that the data utilized for analysis is accurate, high-quality, and uncompromised. Our intended result: Potential applicants for this post could be Americans only. Data science, machine learning, or a similar discipline calls for minimum two to three years of pertinent professional experience. Statistical techniques, data analysis, and model development all flow naturally to you. Technical Mastery: You speak Python, R, and SQL rather well among other programming languages. Good usage of machine learning libraries including PyTorch, TensorFlow, or scikit-learn is appreciated. Using Tableau, Power BI, and Matplotlib, you are a master at visually appealing and intelligible presenting challenging data. According to the analytical perspective, one can see the possible insights by closely reviewing unprocessed data. Constantly asking "why" questions regarding the figures helps you to strengthen your critical thinking abilities. Your creative approach helps you to turn facts into strategic advantage and generate original answers to problems. You like collaborating with others whether you are developing fresh ideas or presenting your results to non-technical aware stakeholders. Your painstaking attention to detail helps the data you handle to be of the best quality and accuracy. Our Motives for Your Contentment in Comprising Our Team Working remotely in the US allows you to enjoy your freedom in juggling job and personal life. Join a team that celebrates uniqueness and creativity to start fresh ideas and assume leadership responsibilities. Development in Your Profession: We provide you various chances to pick up fresh skills, broaden your knowledge in a profession always changing, and progress in your employment. We provide a competitive pay, a whole benefits package, and wellness incentives to guarantee your health and happiness. You will directly influence the course of our company since you own its future. Your efforts will help to shape it. Approaches for Application: Are you ready to use data's power and change things? Your answer would really be much valued. Add a quick cover letter outlining your interest in data science and noting how your background fits the position. Note: Only US applicants are eligible for this post.

Java Full Stack Developer (Job Code: J2EE) 3 to 10 years of experience developing web based applications in Java/J2EE technologies Knowledge of RDBMS and NoSQL data stores and polyglot persistence (Oracle, MongoDB etc.) Knowledge of event sourcing and distributed message systems (Kafka, RabbitMQ) AngularJS, React, Backbone or other client-side MVC experience Experience with JavaScript build tools and dependency management (npm, bower, grunt, gulp) Experience creating responsive designs (Bootstrap, mobile, etc.) Experience with unit and automation testing (Jasmine, Protractor, JUnit) Expert knowledge of build tools and dependency management (gradle, maven) Knowledge of Domain Driven Design concepts and microservices Participate in software design and development using modern Java and web technology stack. Should be proficient in Spring boot and Angular Sound understanding of Microservices architecture Good understanding of event driven architecture Experience building Web Services (REST/SOAP) Experience in writing©Junit Good to have experience in TDD Expert in developing highly responsive web application using Angular4 or above Good Knowledge of HTML/HTML5/CSS, JavaScript/AJAX, and XML Good understanding of SQL and relational databases and NO SQL databases Familiarity with design patterns and should be able to design small to medium complexity modules independently Experience with Agile or similar development methodologies Experience with a versioning system (e.g., CVS/SVN/Git) Experience with agile development methodologies including TDD, Scrum and Kanban Strong verbal communications, cross-group collaboration skills, analytical, structured and strategic thinking. Great interpersonal skills, cultural awareness, belief in teamwork Collaborating with product owners, stakeholders and potentially globally distributed teams Work cross-functional in an Agile environment Excellent problem-solving, organizational and analytical skills Qualification : BE / B.Tech / MCA / ME / M.Tech **************************** TESt Shift 9 hrs Test Budget 5 hrs

About Arevon Arevon is a U.S. energy leader committed to powering America with affordable, reliable, and secure homegrown energy. Headquartered in Scottsdale, Arizona, and with a regional office in New York City, the company's experienced and dedicated staff develops, finances, builds, owns, and operates renewable energy projects nationwide. With a strong track record in utility-scale solar and energy storage, Arevon is a trusted partner to utilities and businesses seeking cost-effective, sustainable energy solutions. By prioritizing American manufacturing and domestic energy production, the company invests in U.S. jobs, strengthens local economies, and advances the country's energy independence. The Position Arevon is recruiting for the position of Data Scientist on the Market Operations team, an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries of the 21st century. The Data Scientist will be responsible for developing algorithms, predictive models, and optimization methods to support Arevon's energy storage portfolio. This position will collaborate with other teams throughout Arevon to develop and understand development and operating assumptions for both new investment opportunities, as well as current assets. Key Responsibilities Lead the improvement of price forecast models for power markets-including day-ahead, real-time, and long-term price projections for power and ancillary services. Analyze large-scale power market datasets (e.g., CAISO, ERCOT, MISO, NYISO) to identify trends, drivers, and risks affecting price formation and asset value. Translate quantitative research and market analysis into actionable insights for trading, asset management, and investment decisions. Stay current on market rules, regulatory changes, and emerging trends in energy markets, integrating this knowledge into modeling and strategy. Performs other job-related duties as assigned. Required Qualifications Direct experience working with power market data and analytics (e.g., CAISO, ERCOT, MISO, NYISO, PJM, or similar). Experience in modeling, forecasting, or optimizing within power/energy markets. 3+ years of hands-on experience in data analysis and quantitative modeling. Advanced programming skills in Python or R; strong SQL. Proficiency with mathematical programming/optimization and model validation. Ability to manage and analyze large, unstructured datasets using distributed computing platforms. Strong communication skills to translate complex quantitative findings into actionable business insights. Why Join Arevon? We believe you should love what you do and love where you work, which is why we offer a wide range of benefits to support your personal and professional well-being. Competitive Compensation and Incentives Generous Paid Time Off Flexible Work Environment 401(k) Plan with 6% Company match Tuition Reimbursement Program Paid Parental and Caregiver Leave Inspiring Company Culture Professional Development Opportunities Equal Opportunity Employer Statement Arevon is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We encourage candidates of all backgrounds to apply.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. 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 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. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. 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 Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

The Data Scientist I demonstrates an expanded breadth of knowledge and the ability to handle basic issues independently. They also demonstrate very good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field; and has basic knowledge of Caterpillar Inc., and its products and services. JOB DUTIES: The Data Scientist I will participate on cross-functional project teams in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer. The key role of this second level data scientist position is to move from learning and assisting others to learning to contribute independently. The Data Scientist I is expected to become familiar with the company's processes, products, and organization. Work is typically directed by a project or team lead who might review both methods and results. Challenges include meeting expectations in delivering results, learning to consider alternative courses of actions, making timely decisions, developing communication skills, working with people, and pushing the technical bounds of experimentation while meeting customer commitments. Individuals in this position might expect to have several assignments allowing them to gain experience on multiple projects. They will be expected to apply theory and concept in contributing to the solution in the assigned area. Position's Contributions to Work Group: - The Product Support and Quality team within Cat Technologies is seeking a talented and motivated Data Scientist to assist in creating and analyzing product support and quality reports and tools. Our analyses reveal machine usage insights that help our customers work safer and more productively and help our enterprise understand the market trends that shape our future business. This role will require a skillset in analytics, report generation, databases and development tools. JOB DUTIES: The Data Scientist I will participate on cross-functional project teams in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer. The key role of this data scientist position is to move from learning and assisting others to learning to contribute independently. The Data Scientist I is expected to become familiar with the company's processes, products, and organization. Work is typically directed by a project or team lead who might review both methods and results. Challenges include meeting expectations in delivering results, learning to consider alternative courses of actions, making timely decisions, developing communication skills, working with people, and pushing the technical bounds of experimentation while meeting customer commitments. Individuals in this position might expect to have several assignments allowing them to gain experience on multiple projects. They will be expected to apply theory and concept in contributing to the solution in the assigned area. The job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models. - The Data Scientist I demonstrates an expanded breadth of knowledge and the ability to handle basic issues independently. They also demonstrate very good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field; and has basic knowledge of Caterpillar Inc., and its products and services Skills Data science, Sql Top Skills Details Data science,Sql Additional Skills & Qualifications The Machine Data Insights team within Machine Analytics is seeking a talented and motivated Data Scientist to develop analyses that support product development analytics, aftermarket analytics, demand forecasting analytics, and other strategic analytics areas of focus. Our team's mission is to understand our customers where their work gets done. Our analyses reveal machine usage insights that help our customers work safer and more productively and help our enterprise understand the market trends that shape our future business. This role will require a skillset in advanced statistical modeling and machine learning techniques as well as domain knowledge of industrial equipment. Experience Level Intermediate Level Job Type & Location This is a Contract position based out of Tucson, AZ. Pay and Benefits The pay range for this position is $20.00 - $25.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Tucson,AZ. Application Deadline This position is anticipated to close on Jan 31, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Join us for an exciting career with the leading provider of supplemental benefits! Our Promise Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. The Senior Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation. The Senior Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation. Competencies: Functional: Collaborate with colleagues in other departments to improve business outcomes Identify and mine reliable internal and external data sources Design custom tools to optimize data mining, cleaning, validation and analysis tasks Develop and apply custom data models and algorithms to data sets Develop tools and testing models to ensure data accuracy Create and present reports that detail your findings, recommendations and solutions Core: Data Acquisition and Preparation: Identifying relevant data sources, collecting, cleaning, processing, and transforming raw data into a usable format. This often involves dealing with both structured and unstructured data. Exploratory Data Analysis (EDA): Investigating datasets to uncover patterns, trends, relationships, and anomalies. This stage helps in formulating hypotheses and understanding the data's potential. Statistical Analysis and Modeling: Applying statistical methods and building mathematical models to analyze data, test hypotheses, and make predictions. This includes a strong understanding of statistical concepts, regressions, and probability. Machine Learning and Predictive Modeling: Developing, training, and deploying machine learning algorithms and predictive models to forecast outcomes, classify data, and automate processes. This involves selecting appropriate algorithms, feature engineering, and model evaluation. Data Mining and Pattern Recognition: Utilizing techniques to discover hidden patterns and insights within large datasets, which can be used for tasks like fraud detection or customer behavior prediction. Experimentation and Hypothesis Testing: Designing and conducting experiments (e.g., A/B testing) to validate hypotheses, measure the impact of changes, and optimize solutions. Data Visualization and Communication: Presenting complex findings and insights in a clear, concise, and engaging manner to both technical and non-technical stakeholders. This often involves creating reports, dashboards, and compelling visual representations of data. Behavioral: Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth. Initiative: readiness to lead or take action to achieve goals. Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing. Member-focused: going above and beyond to make our members feel seen, valued, and appreciated. Detail-oriented and thorough: managing and completing details of assignments without too much oversight. Flexible and responsive: managing new demands, changes, and situations. Critical Thinking: effectively troubleshoot complex issues, problem solve and multi-task. Integrity & responsibility: acting with a clear sense of ownership for actions, decisions and to keep information confidential when required. Collaborative: ability to represent your own interests while being fair to those representing other or competing ideas in search of a workable solution for all parties. Minimum Qualifications: Bachelor's degree in computer science, Data Science, Math or related field. 7+ years' experience working in healthcare 12+ years' experience using Java, JavaScript, Python, R or SQL 10+ years' experience in a Data Science/Analytics role Demonstrated expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. Expertise in designing multi-cloud or hybrid data ecosystems. Experience with business intelligence and data analytics tools such as PowerBI Expertise with machine learning techniques, Expertise with statistical and data mining techniques Strong problem-solving skills Preferred Qualifications: Master's degree in data science, Computer Science, or related field. Expertise with AI-driven data architecture and advanced analytics solutions. Proficiency in cloud-native database management and DevOps practices. At Avēsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are: Zone A: $90,220.00-$150,360.00 Zone B: $98,330.00-$163,890.00 Zone C: $105,820.00-$176,360.00 FLSA Status: Salary/Exempt This role may also be eligible for benefits, bonuses, and commission. Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. We Offer Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way. Competitive compensation package. Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period. Life and disability insurance. A great 401(k) with company match. Tuition assistance, paid parental leave and backup family care. Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent. Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best. Employee Resource Groups that advocate for inclusion and diversity in all that we do. Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability. How To Stay Safe Avēsis is aware of fraudulent activity by individuals falsely representing themselves as Avēsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company. Avēsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avēsis recruiters will come from a verified email address ending in @ Avēsiscom. We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to ********************. To learn more about protecting yourself from fraudulent activity, please refer to this article link (************************************************** If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: ******************************* with the Federal Trade Commission. Avēsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity. Equal Employment Opportunity At Avēsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avēsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avēsis, where We See You!

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection Shared Services - Advanced Analytics is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime. In this role, you will be expected to work on large and complex data science projects that entail working with both relational and graph databases. In these projects, it is expected to collaborate with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic initiatives, large-scale projects, and overall improvements. Responsibilities: * Perform graph analytics to find and mitigate densely connected fraud networks * Assist with the generation, prioritization, and investigation of fraud rings * Enable business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and data driven insights * Understanding of end-to-end model development work, ranging from supervised, unsupervised, and graph-based machine learning solutions, to maximize detection of fraud or capture anomalous behavior * Manage multiple priorities and ensures quality and timeliness of work deliverables such as data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Manage relationships with multiple technology teams, development team, and line of business leaders, including alignment of roadmaps, managing projects, and managing risks * Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Support the identification of potential issues and development of controls * Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytical-based insights * Manages a roadmap of data science use cases to answer business trends based on economic and portfolio conditions and communicate findings to senior management, while diligently working and leading peers to solve for these use cases * Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics * Apply agile practices for project management, solution development, deployment, and maintenance * Deliver presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Maintain knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Engage business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts Required Qualifications: * 4+ years of experience in data and analytics * 4+ years of experience in data analytics within fraud prevention * Must be proficient with SQL and one of SAS, Python, or Java * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Problem-solving skills including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and produce creative solutions * Exposure to model development leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, etc.) * Expertise in data analytics and technical development lifecycles including having coached junior staff * Expertise handling and manipulating data across its lifecycle in a variety of formats, sizes, and storage technologies to solve a problem (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) Desired Qualifications * Advanced Quantitative degree (Master's or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Understanding of advanced machine learning methodologies including neural networks, graph algorithms, ensemble learning like XGB, and other techniques * Proficient with SPARK, H2O, or similar advanced analytical tools * Analytical and Innovating Thinking * Problem Solving and Business Acumen * Risk and Issue Management, interpreting relevant laws, rules, and regulations * Data Visualization, Oral and Written Communication, and Presentation Skills * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Shift: 1st shift (United States of America) Hours Per Week: 40

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 Data Scientist 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 Data Scientist, 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.

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 Data Scientist 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 Data Scientist, 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.

As a 100% employee-owned contractor, when you work at Sundt, you're not just hiring on at a company, you're joining a culture. Because everyone at Sundt is part owner, you'll join a team of people who are deeply invested in their work. From apprentices to managers, we're passionate about the details and deliberate in everything we do. At Sundt we focus on building long-term prosperity for our clients, communities, and employee-owners. We offer competitive pay, industry-leading benefits including a 401k and employee stock ownership plan, incentive programs for craft and administrative employees as well as training that focuses on your personal and professional growth. We're driven by skill, grit and purpose. Join us as we strive to be the most skilled builder in America. Job Summary As a Senior Data Scientist, you will serve as the technical lead for designing, building, and operationalizing advanced analytics and machine learning (ML) solutions that drive business value across the organization. As the first Data Scientist on the team, this role will establish foundational data science and ML capabilities, including setting up development environments, defining standards, and implementing best practices. In this role, you will partner closely with business and operational leaders to apply hypothesis-driven analysis, statistical modeling, and machine learning techniques to complex business problems, delivering actionable insights, analyses, and recommendations that directly support senior leadership decision-making. This role requires close collaboration with the Al team, Data & Analytics (D&A) organization, and business stakeholders to translate complex business problems into scalable, data-driven solutions. The ideal candidate combines strong statistical and machine learning expertise with practical engineering skills and the ability to communicate insights effectively to technical and non-technical audiences. Continuous learning, experimentation, and innovation are essential to advancing maturity in this area. Key Responsibilities: 1. Design, build, evaluate, and iterate on statistical, machine learning, and Al models using appropriate techniques and rigorous validation methods. 2. Design, develop, and deploy machine learning and advanced analytics solutions to solve complex business problems across the organization. 3. Develop and maintain documentation for models, assumptions, methodologies, experiments, and results to support transparency, reuse, and long-term sustainability. 4. Ensure data privacy, security, and compliance requirements are met when developing and deploying analytical solutions. 5. Establish, maintain, and own the data science and ML development environment, including tooling, libraries, workflows, and best practices within Databricks or other selected tooling. 6. Influence stakeholders by clearly communicating insights, model outcomes, risks, and recommendations through visualizations, presentations, and storytelling. 7. Lead and partner with the Al team and D&A organization to design end-to-end ML solutions, from data exploration and feature engineering to model training, deployment, and monitoring. 8. Partner closely and provide technical direction to Data Engineers and Data Architects to ensure data availability, quality, scalability, and alignment with enterprise data standards. 9. Perform exploratory data analysis, feature engineering, and large-scale experimentation to identify trends, patterns, and predictive signals within enterprise datasets. 10. Support the operationalization of models, including monitoring performance, managing model drift, and enabling retraining strategies. 11. Translate business questions and operational needs into analytical strategies, modeling approaches, and measurable outcomes that support decision-making. Minimum Job Requirements: 1. 3+ years of hands-on experience using Databricks or similar tooling for data science or machine learning workloads, including Spark-based data processing. 2. 6-8+ years of experience in data science, advanced analytics, or applied machine learning roles. 3. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; or equivalent combination of education and experience. 4. Demonstrated ability to own solutions end-to-end, from problem definition through deployment and ongoing optimization. 5. Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical audiences. 6. Other preferred qualifications: Azure-based data platforms, Mlflow, Git/GitHub, Azure DevOps, Cl/CD for ML (MLOps). 7. Proven experience designing, deploying, and maintaining statistical and machine learning models in production environments. 8. Strong analytical, problem-solving, and critical-thinking skills with attention to detail. 9. Strong proficiency in Python and SOL for data analysis, modeling, and experimentation. 10. Strong understanding of a wide range of statistical and machine learning techniques, with the ability to select appropriate approaches based on business and technical constraints. Note: Job Description is subject to change at any time and may include other duties as assigned. Physical Requirements: 1. May stoop, kneel, or bend, on an occasional basis 2. Must be able to comply with all safety standards and procedures 3. Required to use hands to grasp, lift, handle, carry or feel objects on a frequent basis 4. Will interact with people and technology frequently during a shift/workday 5. Will lift, push or pull objects up to 50Ibs on an occasional basis. 6. Will sit, stand or walk short distances for up to the entire duration of a shift/workday. 7. Will use telephone, computer system, email, and other electronic devices on a frequent basis to communicate with internal and external customers or vendors Equal Opportunity Employer Statement: Sundt is committed to the equal treatment of all employees, and/or applicants for employment, and prohibits discrimination based on race, religion, sex (including pregnancy), sexual orientation, gender identity, color, age, disability, national origin, covered veteran status, genetic information; or any other classification protected by applicable Federal, state, or local laws. Benefit list: Market Competitive Salary (paid weekly) Bonus Eligibility based on company, group, and individual performance Employee Stock Ownership Plan & 401K Industry Leading Health Coverage Starting Your First Day Flexible Time Off (FTO) Medical, Health Savings, and Wellness credits Flexible Spending Accounts Employee Assistance Program Workplace Wellness Programs Mental Health Program Life and Disability Insurance Employee-Owner Perks Educational Assistance Sundt Foundation - Charitable Employee-Owner's program #LI-KW1

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

JobID: 210692669 JobSchedule: Full time JobShift: : Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities * Understand and translate business needs into data models supporting long-term solutions * Convert data into actionable insights * Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues * Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills * 3+ years' experience working in an analytical role * BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline * Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions * Strong storytelling capabilities * Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills * Master's Degree * Functional industry experience in finance, operations, sales, marketing, or credit/risk * Knowledge of the mortgage industry

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description At least 4+ years of overall design and development experience At least 4+ years of working on data management domain with big data, Oracle, SQL or other database solutions. At least 2+ years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies Development experience in Java, Python, Scala Experience in cloud technologies preferred - AWS or Azure. Experience in DevOps technologies preferred Understanding of market and technology trends. Analytical and problem solving skills Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience with Information Technology. Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Full-Time job for you Only US Citizen, Green Card Holder, TN Visa, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, TN Visa & H1B Consultants please. Please mention your Visa Status in your email or resume.