Data scientist jobs in Missouri

Cloud Data Engineering (Production Support) St Louis, MO(Hybrid) Contract Local consultants will be considerded Only on w2(USC or GC) Core Responsibilities Production support for Databricks notebooks, Spark streaming apps, and APIs. Ownership of Level 1 / Bronze batch ingestion for ~60 data sources. Work includes: Data ingestion from various relational DBs or AWS → Delta Lake. Adding new tables/columns, change management, GDPR/purge processes. Product optimization: upgrades, resiliency work, performance improvements. Occasional new development for shared-service tools, not business-facing projects. Required Technical Skills Python (must have) Spark fundamentals (architecture, DataFrames, Spark SQL) Databricks experience Relational DB experience (Oracle, SQL Server, Postgres; not a DBA) Understanding of Delta Lake Nice-to-Haves: Spark streaming API development experience Azure experience preferred; AWS acceptable Scala not required

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. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding 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.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#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 (**************************************** .

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Data Scientist Computer Vision Your Tasks and Responsibilities Providing technical contributions in a fast-paced team environment to accelerate our efforts in Plant Biotechnology. Independently perform statistical analysis, computer programming, predictive modeling, and experimental design. Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community. Contribute to the development of code, models, and end-to-end workflows for analysis of images and other large datasets. Developing sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators. Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business. Qualifications Bachelors degree with 5+ years of experience or Masters degree with 2+ years experience or PhD. Educational preparation or applied experience in at least one of the following areas: Data Science, Computer Science or other related quantitative disciplines. Demonstrates intermediate proficiency in computational skills using R and/or Python, and/or Sagemaker Strong proficiency in predictive modeling-to include comprehension of theory, modeling /identification strategies and limitations and pitfalls. Experience in applying machine learning, deep learning, and other algorithms to imaging data and other large datasets. Experience in writing and deploying models and/or pipelines in a cloud environment Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen. Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to extended team and small groups of key stakeholders. Employees can expect to be paid a salary between $109,370.40 - $164,055.60 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least January 5, 2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location: United States : Missouri : Chesterfield Division: Crop Science Reference Code: 857498 Contact Us Email: hrop_*************

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. ©{{Depending on your needs, you can write very specific requirements here, like: “automate scoring using machine learning techniques”, “build recommendation systems”, “improve and extend the features used by our existing classifier”, “develop internal A/B testing procedures”, “build system for automated fraud detection”, etc.}} Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Shifted 8 hours Budgeted 12 hts

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

Company: The Boeing Company We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld Join an exciting and growing team in performing complex analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics are used to turn that data into insights to improve performance, enable smarter services, increase productivity, and make flying safer. The Boeing Company is currently seeking an Experienced/Lead Engineering Data Scientist to join the Boeing Global Services (BGS) Government Services Analytics team located in Hazelwood, MO, Colorado Springs, CO, or Oklahoma City, OK. In this position you will work with an industry-leading team of data scientists, support US and international customers, and collaborate with engineering teams to create innovative health management solutions for government aircraft platforms. As an experienced/lead data scientist, you will play a crucial role in creating new analytics models that provide aftermarket services for our military customers. Your primary responsibility will be leading the design and development of machine learning models using a wide array of methods to empower aircraft users with valuable insights. This role requires a resourceful, self-driven, outcome-oriented individual with the ability to collaborate respectfully and communicate effectively. The ideal candidate will have advanced knowledge and work history in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), proven experience in leading data science projects, and a successful track record of deploying machine learning models in a production environment. This position is onsite. The selected candidate will be required to perform work onsite at one of the listed location options. Position Responsibilities: Lead the design and development of advanced machine learning models and algorithms to solve complex problems as aftermarket services for military customers. Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards. Conduct data analysis and exploration to identify patterns, trends, and insights that drive decision-making and improve aircraft health management. Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance. Utilize natural language processing, data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling. Evaluate and apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience. Implement and deploy machine learning models into production systems, working closely with software engineering teams to integrate into customer environments. Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts. Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability. Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations. Mentor and provide guidance to junior data scientists and contribute to the development of best practices and standards for data science within the organization. This position requires the ability to obtain a SECRET US Security Clearance Post-Start for which the US Government requires US Citizenship. To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Our teams are currently searching for a broad range of levels including Experienced and Lead. Basic Qualifications (Required Skills/Experience): Bachelor's degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline 5+ years of professional experience in data science, artificial intelligence, or machine learning 5+ years of experience in Python for data science applications Experience leading technical teams or projects Preferred Qualifications (Desired Skills/Experience): Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background 10+ years of professional experience in data science, artificial intelligence, or machine learning 3+ years of experience in natural language processing 3+ years of experience in SQL Proficient with data visualization tools, such as Tableau. Proficient in deep learning frameworks such as PyTorch and TensorFlow Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions. Engineering domain knowledge relating to aircraft maintenance, design, or testing Experience integrating models into customer environments, both on-prem and in cloud environments Experience working in an agile software development team Relocation: This position offers relocation assistance. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. All information provided will be checked and may be verified. Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Experienced: $106,250 - $154,100 Lead: $124,100 - $180,550 Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Language Requirements: Not Applicable Education: Not Applicable Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E - Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $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.

At Embtel Inc, our commitment is to be an expert provider of tailored, end-to-end enterprise-class IT solutions for mid-market and enterprise companies through high-touch customer service. Embtel offers a full suite of IT solutions including cloud and hosting solutions, managed services, ERP application management, professional services, IT hardware and top tier data centers. At Embtel Inc, our principles of leadership and innovative engineering helps customers reduce costs, improve service levels, increase revenues and gain local-to-global competitive advantage. Our customers span multiple industries including healthcare, manufacturing, financial services, retail, and government. Customers choose us because our experienced team leverages and manages mission-critical data centers, cloud, and customer infrastructure 24/7/365. Our services ensure customer data is secure, available, and helps meet their compliance requirements. Embtel Inc. helps professionals to achieve highest degree of client satisfaction through our customized training programs based on the client's business needs to empower program managers, project managers, and business analysts. Our trainers have encompassing experience in not only the tools we support, but also in project management and earned value methodology, enterprise systems, database architecture, business reengineering and more. Job Description Knowledge/Experience: Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor's degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL Qualifications quantitative analysis in data science capabilities predictive & statistical modeling Teradata, MySQL, DB2 & SQL Server Additional Information All your information will be kept confidential according to EEO guidelines.

Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence, defense, homeland security and commercial market space. Our customers' and Syntelligent's success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented. Syntelligent is seeking a Data Scientist - Journeyman level with active TS/SCI clearance for an awarded/funded contract in support of a government customer in St. Louis, MO.*** This is a Pipeline position*** Primary Responsibilities: The Data Scientist will analyze actual and predictable interacting operational activities of given target sets and client requests to obtain a quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.), and other principles and laws of scientific and economic disciplines. Identify and evaluate standardized methods, models and algorithms to address intelligence problems of limited scale as directed. Provide documentation for methods and algorithms use in data science solutions to the client and address outstanding items. Interact with analysts and routinely take and translate analytical requirements and transform them into data formats to allow for use and the application of new emerging analytical methodologies. Interpret rich data sources, manage large amounts of data, merge data sources together, ensure consistency of data-sets, support the creation of visualizations to understand data, build mathematical models using the data, and present and communicate the data insights/findings to specialists and scientists in their team and if required to a non-expert audience. Design, develop, program, and test applications and exchange data within and amongst information systems. MINIMUM REQUIRED SKILLS: The candidate must have a minimum of 2 - 4 years of experience; A Bachelor's degree in a field related to the support services may count for up to four years of this experience. Experience with Data Conditioning & Data Wrangling Demonstrated experience with programming languages i.e. Java, Python or R Understanding of Data Analytics Demonstrated experience with statistics & statistical models Demonstrated experience with SQL databases i.e. Oracle, PostgreS Ability to identify, retrieve, manipulate, relate and/or exploit multiple structured and unstructured data sets from various sources, including building or generating new data sets as appropriate Ability to interpret and evaluate the results of data science community's methods models and/or algorithms, understanding the meaning, limitations and scope of the results, and translate them into insightful output for data science and/or mission and identifying other applications for use Ability to initiate the efficient implementation of methods, tools, and algorithms using a comprehensive range of technologies DESIRED SKILLS: Experience in visualization, communication & story-telling based on data and analytics findings Data Analytics Experience in Machine Learning Knowledge and experience with database creation and management Geospatial Information Systems Knowledge of ESRI Suite Knowledge of PostGIS Knowledge of QGIS Cloud Environment Experience in deploying applications Experience in testing applications Active TS/SCI clearance and willingness to obtain a POLY is REQUIRED for consideration. (MAY BE REQUIRED) Current GEOINT Professional Certification - Fundamentals (GPC-F) or ability to obtain it within 90 days of hire (**************************************** Online applications, please. When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you. Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact our Human Resources at ************, Extension #2.

Clearance: TS/SCI Citizenship: US Citizenship Required Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping the lives of millions. At Intellectix, we are on a mission to empower them with innovative technical solutions and drive transformational change. As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software systems. Because at Intellectix, it's not what we do, it's why we do it. Responsibilities & Duties: This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is needed to support a sophisticated enterprise environment. The Scientist is an active participant in SAFe and Scrum development teams and meetings. Identify data sources and automate collection processes. Perform preprocessing of structured and unstructured data. Analyze large, complex data sets to identify 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 address Key Intelligence Questions. Collaborate with engineering and product development teams. Qualifications: Education/Experience: 2+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a Bachelor's Degree in Computer Programming, Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience. 3+ years of experience in a Linux environment. Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq. Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow). Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch. Experience with workload managers (SLURM, Argo Workflow, Airflow). Strong problem-solving and troubleshooting skills. Strong communication and interpersonal skills. Must possess excellent time management skills and the drive to work unsupervised. Active TS/SCI clearance required and eligibility to obtain a CI poly. Desired Skills: Prior experience working with or within the Intelligence Community or a military intelligence unit. Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.). Computer vision-related experience with torchvision or tensorflow object detection APIs. Additional languages on top of Python preferred (C++, Julia, Go, R). Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex). Experience building data pipelines with spark, kafka, or nifi. Join Intellectix and be part of a dynamic team that thrives on tempo, teamwork, and technical excellence. Your skills and expertise will contribute to creating a safer and smarter tomorrow. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Connect Talent Solutions is a fast growing, innovative staffing firm offering direct placement, contract and contract to hire solutions. We are uniquely positioned and experienced to support your requirements from IT and engineering to general labor and customer service positions. At Connect, people are the center of our universe and we go to great lengths to ensure that our customers and candidates have the most enjoyable and informational hiring experience that will encourage and foster fruitful, long term relationships and careers. Job Description: As a Junior Data Scientist, you will work as part of a small team of data engineers, database developers and visualization specialists to analyze large sets of structured data, looking for anomalies and undiscovered correlations. You will combine analytic, Python, and R skills to discover and solve data problems obscured to the layman by the sheer volume of data, apply fuzzy matching and statistical analysis to find and deal with inaccurate data points or missing data, and work with data providers to correct their input feeds. You will use a variety of tools to profile and visualize data, developing reports, dashboards, and repeatable analyses for leadership. Job Responsibilities: Perform deep dive analysis into data sets and reports to identify problems or suspected issues with collected data. Analyze business operations requirements for data, evaluate existing data quality, and recommend improvement opportunities. Analyze output products to assure data quality and conformance to requirements. Participate in continuous improvement efforts to increase available data quality and speed of delivery. Participate on an Agile development team, using Scrum techniques, as a contributing development team member. Qualifications Bachelor's degree preferred, however, adequate work experience and training will be considered for a stellar candidate. Agile development certifications preferred. TS/SCI clearance required Desired Core Skills: Good Python Scripting SQL Scripting MS Excel (e.g., vlookup, pivot tables , etc) Time management skills and the drive to work with limited supervision within a small team Ability to manage priorities across multiple project tasks Preferable Secondary Skills: Familiarity with Agile Scrum methodologies Experience with analytic tools like Tableau, Kibana, or Alteryx, Experience with relational databases like Postgres, SQL Server, Oracle, or MySQL Jupiter Notebook R Studio Connect Talent Solutions is an Equal Opportunity Employer-Minorities/Females/Veterans/Individuals with Disabilities. Individuals with disabilities, including disabled veterans or veterans with service-connected disabilities, are encouraged to apply. Job Location: Springfield, VA

Job DescriptionDescription: Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value - not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We'd love for you to join our team! Job Summary: B&A is looking for a Data Scientist to join a contract with a federal government client in support of an important mission. We are seeking a Data Scientist with a proven track record in intelligence support and data-driven analysis to provide direct, high-impact contributions to a mission-critical office. This position represents one of the first dedicated data science roles supporting this environment, offering the opportunity to shape analytical capabilities from the ground up. Responsibilities Operate independently to lead and execute advanced data science tasks in support of intelligence missions. Work closely with intelligence analysts and mission stakeholders to identify requirements and deliver data-informed insights. Design and implement scalable processes to manage and exploit large and complex datasets. Use exploratory data analysis and statistical modeling to identify patterns, trends, and mission-relevant discoveries. Develop clear, operationally relevant visualizations and dashboards that integrate seamlessly into daily intelligence workflows. Support knowledge transfer and help foster a culture of data literacy across the organization. Education and Experience Bachelor's degree 5 years of experience working in intelligence providing intelligence analysis. Required Skills Demonstrated background in the intelligence community, with direct support to intelligence analysis and missions. Senior-level experience working autonomously in high-stakes, dynamic environments. Proven ability to design, develop, and optimize data processes involving large, complex, and sensitive datasets. Experience delivering actionable analytical products through effective data visualization (e.g., dashboards, reports, dynamic tools). Strong communication skills and the ability to translate technical findings into operationally impactful narratives. Desired Skills Prior experience building analytics capabilities in austere or newly developed environments. Familiarity with cloud environments and data architectures commonly used in government or DoD settings. Proficiency with tools such as Python, R, SQL, Tableau, Power BI, or similar. Security Clearance Top Secret More About B&A: Notable Clients B&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. Benefits and Programs B&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B&A's 401(k) plan is available to all employees and includes a company matching contribution. B&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: The B&A Cares program: 30/60/90-day wellness check ins, personal development, financial management, and stress management seminars, and more A formal mentorship program Job shadowing and cross training opportunities Brand Ambassador program Employee Assistance Program (EAP) - Access to various support resources to include counseling, legal guidance, financial planning, and more Monthly teambuilding events B&A Annual Wellness Challenges: #StepWithB&A, #WalkDuringLunchWithB&A, #VolunteeringWithB&A, #ExerciseDuringLunchWithB&A, and more At B&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. EEO B&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A's offices, and other workplaces (including client sites) and all other locations where B&A is providing services, and to all work-related activities. EEO is the Law B&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 Form to confirm work authorization. Requirements:

**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 (***************************************************************************************************************************

This role helps support Lockton's goal of providing clear, actionable insights for our clients. These insights are used to facilitate informed decision-making and deliver improved outcomes. The role is responsible for creating tailored solutions for individual clients as well as enhancing the Analytics group's brand, workflows, and capabilities. Job Responsibilities: * Collaborate with internal and external stakeholders to understand needs, identify opportunities, and develop strategic solutions to clients' Property and Casualty challenges * Work with various tools (Excel, VBA, Power BI, R, Python, SQL, etc.) to create sophisticated and scalable analytic tools and processes * Leverage Lockton's data to answer ad hoc questions for internal and external audiences * Create materials and trainings to enhance internal understanding of Analytics' capabilities and contribute to white papers / research articles to advance Lockton Analytics' brand in the market * Remain informed on industry developments and effectively communicate the implications both internally and externally * Work with analysts and other stakeholders to identify new or improved analytic solutions that solve business needs * Communicate and explain complex analytic concepts to clients and internal associates * Work with developers to embed actuarial methodologies in new proprietary Lockton applications * Compile, analyze, interpret, and present data trends to guide decision-making * Prepare a variety of analytic outputs based on client or prospect data, including loss projection and stratification, collateral analysis, simulation models, predictive models, claim dashboards, and other ad hoc reports

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Senior Data Scientist, Sustainable Technology Job Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: - Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. - Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. - Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. - Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. - Work with large datasets, ensuring data quality, accuracy, and performance. - Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. - Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. - Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. - Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. - Document data processes, data lineage, and technical specifications for future reference. - Participate in code reviews, ensuring adherence to coding standards and best practices. - Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. - Additional tasks as required. All About You Education: - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: - Proven experience as a Data Engineer / Scientist or similar role. - Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. - Proficiency in designing and implementing data tools, technologies, and processes. - Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. - Strong command of data integration techniques and data quality management. - Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. - Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. - Excellent problem-solving skills and ability to provide innovative data solutions. - Strong leadership skills with a proven track record of guiding and mentoring a team. - 3+ years of experience in related field. - 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. - Broad understanding of Software Engineering Concepts and Methodologies is required. - Demonstrate MC Core Competencies. Skills/ Abilities: - Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. - Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. - Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. - Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. - Experience in BI tools like Tableau, Power BI. - Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) - Experience automating data flow processes in a Big Data environment. - Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) - Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. - Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. - Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** O'Fallon, Missouri: $115,000 - $184,000 USD

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Protein Design Data Scientist Postdoc Protein Design Data Scientist - Postdoctoral Position (Data Scientist VS 1.1) Bayer is looking for a highly creative and motivated data scientist with expertise in deep learning and protein design to join our team in St. Louis, MO. The candidate will join a cross divisional, global team to generate innovative machine learning solutions to better understand biomolecules and productionize solutions into discovery pipelines in the Plant Biotechnology Group. The successful candidate will be responsible for fine-tuning and running deep learning models involved in protein analytics, while advising on a variety of external and internal collaborations focused on generating novel datasets, analytical approaches, and product development strategies. The individual will also have knowledge on traditional molecular mechanics approaches to computational protein design and protein structure analysis. Your Tasks and Responsibilities: Be an active member of a highly interdisciplinary and cross-organizational team aimed at using AI to develop novel Biotech products Stay current with fast-paced innovation in AI applied to protein analytics and design Collaborate and consult with technical and non-technical stakeholders on external collaborations in the protein space Conceive, execute, and evaluate models and experiments; interpret results and present them to a broad range of stakeholders and leadership Help other researchers use AI in their daily discovery activities Work in close collaboration with peers located in our Protein Sciences team and other members of the Data Science community Strengthen external visibility and scientific excellence through publishing, open source code, and engaging in the scientific community Required Qualifications PhD and applied experience in at least one of the following areas: Computational Biology, Computer Science, Computational Chemistry, or related fields. Demonstrates intermediate proficiency in computational skills and level of experience building data models using R or Python. Strong proficiency in leveraging deep learning models for prediction involving biological sequence-to include comprehension of theory, modeling/identification strategies and limitations and pitfalls. Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen. Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders. Employees can expect to be paid a salary between $90,000-$140,000 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least January 5, 2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location: United States : Missouri : Chesterfield Division: Crop Science Reference Code: 857708 Contact Us Email: hrop_*************

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.

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

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable TechnologyJob Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: • Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. • Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. • Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. • Work with large datasets, ensuring data quality, accuracy, and performance. • Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. • Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. • Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. • Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. • Document data processes, data lineage, and technical specifications for future reference. • Participate in code reviews, ensuring adherence to coding standards and best practices. • Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. • Additional tasks as required. All About You Education: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: • Proven experience as a Data Engineer / Scientist or similar role. • Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. • Proficiency in designing and implementing data tools, technologies, and processes. • Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. • Strong command of data integration techniques and data quality management. • Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. • Excellent problem-solving skills and ability to provide innovative data solutions. • Strong leadership skills with a proven track record of guiding and mentoring a team. • 3+ years of experience in related field. • 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. • Broad understanding of Software Engineering Concepts and Methodologies is required. • Demonstrate MC Core Competencies. Skills/ Abilities: • Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. • Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. • Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. • Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. • Experience in BI tools like Tableau, Power BI. • Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) • Experience automating data flow processes in a Big Data environment. • Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) • Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. • Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD