Data scientist jobs in Tennessee

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 "

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. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + 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. \#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: $136,000-$170,000 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 (**************************************** .

Sciera Inc. is an Atlanta based Data & Technology company with 12 years' experience of driving business results of Fortune 500 companies with unparalleled computing power and advanced data science capabilities. Sciera is focused on how we deal with petabyte-scale data and our applications' ability to respond to consumers in milliseconds. As a result, our technologies and solutions assist businesses in turning Big Data into actionable insights - and insights into business success. At Sciera, our employees and their families are important to us. We seek individuals who are self-motivated, dependable, and who are equally productive while working alone or in a group. We expect candidates to contribute to the culture, diversity, and autonomy in which we thrive. So, if you love challenges, a fast paced environment and being on the cutting edge of technology - this could very well be the opportunity for you. Job Location: Chennai Job Description 1-3 years of experience We are looking for a Data Scientist to analyze large amounts of raw data to find patterns that will help improve our client's business processes. We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a flair for analysis, math/statistics and AIML.Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our clients analyze trends to make better decisions and develop new data products to serve our clients better. Roles and responsibilities : Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Data Analyst Data management for analytics Experience in data mining and text mining Understanding of machine-learning and operations research Analytical mind and business acumen Strong math skills (specifically applied statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills Knowledge of Tools: Knowledge of R, SQL and Python Experience with at least two of the major frameworks - Tensorflow, PyTorch, MXNet, Sagemaker, H2O, SparkML Familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Should have completed models in customer life cycle and/or NLP Educational Qualifications: Bachelors in Computer Science, Engineering or relevant field or master degree in computer applications, Statistics, Operations research Master degree in Data Science or other quantitative field is preferred Experience Should have a 1-3 years of experience in analytics/data science in marketing/customer analytics and NLP.

OUR MISSION Imagine building a better healthcare journey for patients with cancer, where individuals and their loved ones feel seen, supported, and heard by their care team - both in and out of the clinic. Where fast access to high-quality care is the norm, not the exception. Where patients have access to a care navigator to guide them through their diagnosis and trusted support all along the way. At Thyme Care, we share a passion for transforming the cancer care experience - not just for patients but also for their caregivers and loved ones, as well as those delivering and paying for their care. Today, Thyme Care is known predominantly as a cancer care navigation company enabling value-based cancer care; in the next few years, we will become a nationally recognized technology-driven and provider-centric care delivery model, reshaping the landscape of cancer care access, delivery, and experience. Our commitment runs deep-we're not satisfied with the status quo but determined to redefine it. To make this happen, we're building a diverse team of problem solvers and critical thinkers to drive innovation and shape the future of healthcare. If you share our vision and want to be part of something truly meaningful, we want to hear from you. Together, we can revolutionize cancer care and make a difference that lasts a lifetime. WHAT YOU'LL DO As a Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities supporting Thyme Care's mission. In this position, you will collaborate closely with our Product Manager and our Growth and Operations teams to understand, ingest, and accurately model healthcare data for new and existing customers, supporting updates and fixes throughout the life of the relationship. You'll develop novel attributes and flags from our existing data to drive action on our Care Team, and build visualizations to report on their impact. In the course of your work you should also expect to: Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL and dbt Collaborate with other data scientists, data engineers, and analysts to build scalable and sustainable data models and pipelines Transform incoming eligibility, claims, prior auth, and ADT data to fit into our standard data models, identifying data quality issue or proposed standard data model enhancements as needed Translate business requirements into technical plans so you can design data models, pipelines, and analytics before you begin building them Build relationships with data teams at risk-bearing entities (insurers, ACOs, PCPs, etc.) and demonstrate Thyme Care's expertise in building data & analytics products Ensure that internal customers have fast, accurate, and reliable access to data, supporting their decision-making and operations with high-quality data pipelines WHAT YOU'VE DONE Expertise in working with large healthcare datasets (eligibility, medical / pharmacy claims, prior auth, ADT, etc.), ideally in a healthcare-focused technology startup with mature data structures and pipelines Experience designing data models to support both operations and analytics and building the data transformations in SQL to bring them to life An ability to "see beyond the question" to develop scalable solutions that are easily learned and reused by internal customers Experience with, or willingness to quickly learn, dbt and Looker WHAT LEADS TO SUCCESS Act with our members in mind. Thyme Care's mission matters deeply to you, particularly our member experience. Move with purpose. You're biased to action. You know how to identify and prioritize your initiative's needs and do what it takes to ensure that urgent and important needs are acted on immediately. Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge. Experience. You have worked with large datasets, ideally in a healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer, Data Scientist, or Data Engineer. Technical ability. Proficiency in data modeling, transformation, and claims analytics is crucial. Familiarity with dbt is preferred, but we are open to candidates willing to learn it quickly. A working knowledge of Python and experience with Looker or similar BI tools for data analysis and visualization is a plus. Clear communication. You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders. Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations. OUR VALUES At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose-or don't choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $140,000 to $155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We're here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer. Be cautious of recruitment fraud , and always confirm that communications are coming from an official Thyme Care email.

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 (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. 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) 11. 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 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/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@fb.com.

We are seeking a dedicated and analytical Entry-Level Data Scientist to join our remote team. In this role, you will collaborate with seasoned data specialists on a variety of projects. This is a wonderful opportunity for a data enthusiast to improve and grow in a supportive environment. *Key Responsibilities:* - Assist with data collection, cleaning, and preprocessing. - Analyze large datasets to find trends and insights. - Develop prediction models and algorithms under supervision. - Create infographics and reports to discuss your findings with stakeholders. - Collaborate with cross-functional teams to integrate data-driven insights into business strategy. - Stay current on the latest industry trends and advancements. *Qualifications:* - A bachelor's degree in data science, math, statistics, or a related field. - Proficient in programming languages including Python and R. - Familiarity with data visualization tools like Tableau and Power BI. - Outstanding analytical and problem-solving abilities. - Excellent communication and teamwork skills. - Willingness to learn and adapt in a fast-paced environment. *Benefits:* - Competitive pay and performance bonuses. - Flexible working hours with a remote-first emphasis. - Comprehensive health, dental, and vision insurance. - Generous paid time off and holidays. - Professional development and training opportunities. - Access to innovative tools and technology. - Involving the corporate culture through virtual team-building events and activities. *Equal opportunity. Employer:* We are committed to establishing an inclusive and diverse workplace. We welcome applicants from all walks of life and value the many ideas and experiences that each brings to our team.

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** 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. Reference ID: 46205

Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period! For more information about our benefits, see below! We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet." Overview We are seeking an experienced and highly motivated Sr. Manager, Data Scientist to lead a team of talented data scientists focused on advancing our marketing analytics capabilities. This role will be instrumental in translating complex marketing challenges into data-driven solutions, driving insights that optimize campaign performance, enhance customer understanding, and maximize ROI. The ideal candidate will possess a strong blend of technical expertise in data science, proven leadership abilities, and a deep understanding of marketing strategies and analytics. Duties & Responsibilities * Team Leadership & Management * Lead, mentor, and develop a team of 2-3 data scientists, fostering a collaborative and high-performing environment. * Set clear goals, provide regular feedback, and conduct performance reviews for team members. * Support the professional growth of team members through training, conferences, and challenging assignments. * Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value. * Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. * Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring. * Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines. * Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations. * Technical Execution & Innovation * Apply a strong understanding of statistical modeling, machine learning algorithms, and experimental design. * Oversee the end-to-end data science lifecycle, including data collection, cleaning, feature engineering, model development, validation, deployment, and monitoring. * Ensure the integrity and accuracy of data used for analysis and modeling. * Contribute to the development of scalable data pipelines and analytical infrastructure in collaboration with data engineering teams. * Hands-on experience deploying models from development through production in a modern data science stack * Champion the use of cutting-edge data science techniques to solve challenging marketing problems. * Strategic Marketing Analytics & Insights * Partner closely with marketing leadership and stakeholders to understand business objectives and identify opportunities for data science to drive impact. * Define and execute the roadmap for marketing analytics initiatives, aligning with overall business strategy. * Lead the design, development, and implementation of advanced analytical models (e.g., attribution modeling, customer lifetime value (CLTV),, segmentation, propensity modeling, personalization algorithms, media mix modeling (MMM)). * Develop and implement A/B and multivariate testing frameworks and methodologies to measure the impact of marketing initiatives. * Stay abreast of industry trends and emerging technologies in data science and marketing analytics. * Cross-Functional Collaboration & Communication * Collaborate effectively with cross-functional teams including Marketing, Product, Sales, IT, and Data Engineering. * Translate complex analytical findings into clear, actionable insights and recommendations for marketing teams and senior leadership. * Act as a subject matter expert in data science and marketing analytics within the organization. Education * Master's or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Experience * 10+ years of progressive experience in data science, with at least 2-3 years in a leadership or management role, leading a team of data scientists. * Extensive experience with ML predictive analytics, optimization algorithms, and large-scale data processing frameworks. * Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization. * Demonstrable experience with many of the following: Demand Forecasting, Segmentation, Testing, Predictive Customer Response, Price Optimization, Marketing Mix Modeling, Customer Journey Analytics, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Skills & Competencies * Expert proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) and/or R. * Strong SQL skills for data extraction and manipulation. * Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure). * Solid understanding of statistical inference, experimental design, and causal analysis. * Proven ability to build, deploy, and monitor machine learning models in production environments. * Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels. * Strong problem-solving abilities and a strategic mindset. No sponsorship or OPT available Base Pay Range $135,700 - $176,400 / year While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable). #LI-Remote Why Choose Us? A career with the Rentokil family of companies can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives. Below you'll find information about some of what we have to offer. All Full-Time Colleagues qualify for the following and Part-Time Colleagues qualify for most benefits after they meet certain criteria. Click here to read more about our Total Rewards Program which includes: Professional and Personal Growth * Multiple avenues to grow your career * Training and development programs available * Tuition Reimbursement benefits (for FT Colleagues) Health and Wellness * Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1 * Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more Savings and Retirement * 401(k) retirement plan with company-matching contributions Work-Life Balance * Vacation days & sick days * Company-paid holidays & floating holidays * A company mindset that prioritizes health, safety, and flexibility We are looking for individuals who want to make a difference where our customers live and work. Is that you? This company is a Drug Free workplace. Rentokil is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities. California residents click here to review your privacy rights. 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. By applying to this job, you agree to receive initial texts from systems used on behalf of Rentokil North America, Inc., possibly including Workday, Loop, and HireVue. These systems utilize text messages to communicate with you throughout the application, interview, and pre-hire processes. You can set your communication preferences or opt out of text messages from each system at any time following the initial message. Message and data rates may apply.

At CareAllies, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. This position is responsible for managing the implementation, maintenance and critical review and analysis of models, studies and systems which use actuarial principles for the purposes of pricing, underwriting, statistics, reserving, forecasting and other actuarial functions; developing complicated models and teaching others how to develop models; developing written and oral presentations that drive the delivery of information for decision making; and managing day-to day projects that may include non-Actuarial departments. Must also possess and demonstrate a deep understanding of one actuarial area or business segment **Required Job Qualifications:** + Bachelor's degree in Actuarial Science, Mathematics, Statistics or Economics. Other Bachelor (or higher) Degrees may be considered. + Associate of the Society of Actuaries (ASA) and Membership in the American Academy of Actuaries (MAAA). Compliance with the membership requirements for each professional designation. + At least 5 years of actuarial experience in the health insurance or related field. + Verbal and written communications skills to prepare effective documentation, facilitate training and development, and participate in presentations. + PC proficiency to include Word and Excel. **Preferred Job Qualifications:** + Access, SQL, Visual Basic or other programming skills. + Data visualization tools experience + Medicare experience is a plus \#LI-LK1 \#LI-Hybrid \#INJLF **EEO Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Pay Transparency Statement:** At CareAllies, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, a minimum of 15 days' of paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for full-time employees. The salary offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **Min to Max Range:** $90,900.00 - $164,200.00 Exact compensation may vary based on skills, experience, and location.

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills: Overall Responsibilities: Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Required Skills: Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel Additional Information All your information will be kept confidential according to EEO guidelines.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **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:** 12/02/2025 *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. \#LI-Remote \#LI-AP4 _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 (***************************************************************************************************************************

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Assess and execute a migration from Connect Enterprise to Sterling File Gateway Qualifications Experience with Sterling Commerce application migrations Well developed analytical skills and written communications skills. Must have very good written and verbal communications skills Must have very good written and verbal communications skills. Required skills/experience for this role includes: Sterling Commerce product migration experience (5 years minimum) Sterling File Gateway experience (5 years minimum) Connect Direct product experience (5 years minimum) Sterling Enterprise experience (5 years minimum) Scripting language experience (Perl, Unix shell scripting, and Widows scripting) (5 years minimum) DOS batch scripting (5 years minimum) System analysis experience (5 years minimum) Additional Information PLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.

Title : Data Streaming Consultant (Big Data) Duration: Full Time Job Description : Mandatory Skills Hadoop, Java, Spark (or Storm or Kafka) Desirable skills Data warehousing, SQL Detailed JD : • Take sprint activities related to real-time streaming requirement (Spark Streaming), Big Data technologies, platform and workflow orchestration etc. • Perform quick PoCs • Train other team members on big data and real-time technologies. Skills: - Experience working Hadoop, NoSQL - Spark, Storm or other streaming/real-time technologies - Java - Preferred: SQL, Data Warehousing Qualifications Big Data, Java, Spark Additional Information Interested candidates please contact me on "************" Ext 157

At ALSAC you do more than make a living; you make a difference. We like people who are different…because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children. Job Description Join the team behind one of the most trusted nonprofit brands in the world. ALSAC is the fundraising and awareness organization for St. Jude Children's Research Hospital. Our paid summer internship program offers a unique opportunity to gain hands-on experience while supporting a powerful mission: Finding cures. Saving children. What You'll Experience: Over 10 weeks, you'll be immersed in ALSAC's culture and work alongside passionate professionals. Here's what you can expect: * Meaningful Projects that make a real impact * Mentorship & Collaboration with teammates and leaders across departments * Exclusive Chats with ALSAC's Executive Leadership Team * Intern Project where you'll learn design thinking, collaborate with interns, and present to ALSAC's Executive Leadership Team Named one of the Top 100 Internship Programs in the U.S. by WayUp and Yello, this program is designed to be impactful, collaborative, and inspiring. Internship Details: * Dates: June 1 - August 7, 2026 * Schedule: Full-time, 40 hours/week (Monday-Friday) * Pay: $14/hour * Location: Headquarters Office in Memphis, TN Application Process: After you submit your application and if eligible, you will be sent an email to complete a virtual video interview from HireVue. Your submission will be reviewed and if you are selected to move forward, you will be contacted for an interview with the hiring manager. Final candidates will be selected by April 1, 2026. For more information, visit stjude.org/alsacintern or contact ***********************. Qualifications: * Must be currently enrolled as an undergraduate or graduate student at an accredited college/university or May 2026 graduate * Passionate about our mission * Strong organizational skills to manage multiple projects simultaneously * Must be 18 years of age or older Internship Focus: The Data Central Office exists to help ALSAC treat data as a strategic asset. To support this effort, our office is comprised of Data & Analytics Enablement and Data Science & Insights teams that strive to make data fit for purpose. We provide actionable information that drives decision-making across the enterprise through statistical modeling and comprehensive data storytelling. We also leverage internships to scale our impact as we work closely with our business partners. This is a highly sought-after position. Anyone who is awarded this position will be expected to contribute to team projects while maintaining their current educational load. Key Tasks Include: * Guided activities: Support data-related projects by * identifying user needs * collecting data * performing data analysis * visualizing insights and deliver to customer using Storytelling skills * ensuring documentation is in the enterprise data catalog as appropriate * Provide recommendations for process improvements regarding data analysis and research related to activities above. * Engage cross-functional stakeholders to understand user requirements and ensure data accuracy and availability. This could include ITS, Legal, InfoSec, Marketing, Business Partners, etc. * Perform data cleaning and data wrangling for analysis and analytics modelling. Skills Required: * Comfort in presenting to executive level team members; good communication and storytelling skills * Data management and analytic skills with attention to detail * Collaboration, organization, and time management skills * Eager to contribute & not shy about sharing thoughts with the team * Experience with technologies and data visualization tools such as Tableau and Python are a plus. Exposure to M/L and statistical analysis is also a plus but not required. Qualifications * Preferred majors: computer or data science, statistics, or management information systems, or other related majors * Proficiency with Microsoft Office (Microsoft Excel, Microsoft Word, Microsoft PowerPoint), SQL Server Majors preferred: Business Administration, MIS, Statistics, Computer Science, Data Science Technical Skills Required: SQL & Microsoft Office Suite Preferred: Python, Tableau & Data Catalog Benefits & Perks The following Benefits & Perks apply to Full-Time Roles Only. We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same. * Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans) * 401K Retirement Plan with 7% Employer Contribution * Exceptional Paid Time Off * Maternity / Paternity Leave * Infertility Treatment Program * Adoption Assistance * Education Assistance * Enterprise Learning and Development * And more ALSAC is an equal employment opportunity employer. ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status. No Search Firms: ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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@fb.com.

Job Description 8+ years of experience We are looking for a Data Scientist lead to analyze large amounts of raw data to find patterns that will help improve our client's business processes. We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a flair for analysis, math/statistics and AIML.Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our clients analyze trends to make better decisions and develop new data products to serve our clients better. Roles and responsibilities : Understand the business landscape and convert the business requirements to analytical deliverables Interface with business and technical teams to make the analytics/data science process smoother and effective Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Science lead Experience in multiple domains - marketing, customer, social intelligence Led a team of data scientists in projects in multiple domains Experience in Data management for analytics Experience in data mining and text mining Understanding of machine-learning and operations research Analytical mind and business acumen Strong math skills (specifically applied statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills Knowledge of tools Knowledge of R, SQL and Python Experience with at least two of the major frameworks - Tensorflow, PyTorch, MXNet, Sagemaker, H2O, SparkML Familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Should have completed models in customer life cycle and/or NLP Should have life cycle modeling and delivery experience Educational Qualifications: Bachelors in Computer Science, Engineering or relevant field or master degree in computer applications, Statistics, Operations research Master degree in Data Science or other quantitative field is preferred Experience Should have a 8+ years of experience in analytics/data science and 3+ years of experience in leading analytics/data science teams.

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. **Job Summary** This position is responsible for managing the implementation, maintenance and critical review and analysis of models, studies and systems which use actuarial principles for the purposes of pricing, underwriting, statistics, reserving, forecasting and other actuarial functions; developing complicated models and teaching others how to develop models. Developing written and oral presentations that drive the delivery of information for decision making; and managing day-to day projects that may include non-actuarial departments. Must also possess and demonstrate a deep understanding of one actuarial area or business segment. **Required Job Qualifications:** *Bachelor degree in Actuarial Science, Mathematics, Statistics or Economics. Other Bachelor (or higher) Degrees may be considered. *Associate of the Society of Actuaries (ASA) and Membership in the American Academy of Actuaries (MAAA). Compliance with the membership requirements for each professional designation. *At least 4 years of actuarial experience in the health insurance or related field. *Verbal and written communications skills to prepare effective documentation, facilitate training and development, and participate in presentations. *PC proficiency to include Word and Excel. **Preferred Job Qualifications:** *Access, SQL, Visual Basic or other programming skills. Please note that this role is **HYBRID** with an in-office requirement of 3 days a week. \#LI-LK1 \#LI-Hybrid \#INJLF **Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!** **Pay Transparency Statement:** At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting ************************************* . The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **HCSC Employment Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Base Pay Range** $90,900.00 - $164,200.00 Exact compensation may vary based on skills, experience, and location. **Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.** **Join our Talent Community. (******************************************** PA8v\_eHgqFiDb2AuRTqQ)** For more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities. Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment. HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at ************** to request reasonable accommodations. Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions. Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas, Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association © Copyright 2025 Health Care Service Corporation. All Rights Reserved.

**_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 (***************************************************************************************************************************