Data scientist jobs in Mount Juliet, TN

BUILT TO CONNECT At Astec, we believe in the power of connection and the importance of building long-lasting relationships with our employees, customers and the communities we call home. With a team more than 4,000 strong, our employees are our #1 advantage. We invest in skills training and provide opportunities for career development to help you grow along with the business. We offer programs that support physical safety, as well as benefits and resources to enhance total health and wellbeing, so you can be your best at work and at home. Our equipment is used to build the roads and infrastructure that connects us to each other and to the goods and services we use. We are an industry leader known for delivering innovative solutions that create value for our customers. As our industry evolves, we are using new technology and data like never before. We're looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec. LOCATION: Chattanooga, TN On-site / Hybrid (Role must report on-site regularly) ABOUT THE POSITION The Data Scientist will play a key role in establishing the analytical foundation of Astec Smart Services. This individual will lead efforts to build pipelines from source to cloud, define data workflows, build predictive models, and help guide the team's approach to turning data into customer value. He or she will work closely within Smart Services and cross-functionally to ensure insights are actionable and impactful. The role blends Data architecture, data engineering, and data science to help build Smart Services analytical foundation. This person will be instrumental in helping to build Astec's digital transformation and aftermarket strategy. Deliverables & Responsibilities Data Engineering: Build and maintain robust data pipelines for ingestion, transformation, and storage. Optimize ETL processes for scalability and performance. Data Architecture: Design and implement data models that support analytics and operational needs. Define standards for data governance, security, and integration. Data Science: Develop predictive models and advanced analytics to support business decisions. Apply statistical and machine learning techniques to large datasets. Strong business acumen to understand decision drivers with internal and external customers Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value. To be successful in this role, your experience and competencies are: Bachelor's degree in data science, engineering, or related field. (Adv. degrees a plus.) 5+ years of experience in data science, including at least 3 years in industrial or operational environments. Strong communication and project management skills are critical. Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP). Strong understanding of data modeling principles and database technologies (SQL/NoSQL). Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. Ability to work across data architecture design and data science experimentation. Programming: Python, SQL, and optionally Scala or Java. Familiarity with distributed systems and big data technologies. Strong communication skills for translating technical insights into business value. Ability to work across technical, commercial, and customer-facing teams. Supervisor and Leadership Expectations This role will not have supervisory or managerial responsibilities. This role will have program management responsibilities. Our Culture and Values Employees that become part of Astec embody the values below throughout their work. Continuous devotion to meeting the needs of our customers Honesty and integrity in all aspects of business Respect for all individuals Preserving entrepreneurial spirit and innovation Safety, quality and productivity as means to ensure success EQUAL OPPORTUNITY EMPLOYER As an Equal Opportunity Employer, Astec does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.

This person is responsible for extracting insights and building predictive models from data. Analyzes curated data, builds ML models, and validates them with experiments. The DS researches and defines business problems and translates them into analytical or ML tasks. Conducts exploratory data analysis to identify patterns, correlations, and anomalies. They will be in charge of designing, training, and evaluating statistical, ML, or AI models. Works with SMEs to determine use cases, model requirements, and alternative solutions. Defines requirements and specifications from which Data Specialists build data structures. Works closely with Data Engineers and customers to ensure correct implementation. Required Experience: Bachelor's in Mathematics, OR, Business, Economics, or related field preferred. Minimum 7+ years designing and implementing mathematical and statistical models. Strong experience with Python/R, PyTorch, Scikit-Learn, Jupyter, visualization, A/B testing. SQL (Oracle, MySQL, or Hive). Oracle DB and Hadoop experience preferred. Ability to work independently and under deadlines. Strong communication and problem-solving skills. Clearance Requirement: Must be a US Citizen with an active DoD Secret security clearance. #cjjobs Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status").

Minimum 10+ years of experience in data engineering. Experience with any one ETL/ELT development Tool viz. Matillion/Nexla/Airflow/Azure, Webjob/ADF, or any other leading ETL tool is preferred. Extensive experience with data ingestion, reporting, and analytics for structured and semi-structured data from various cloud platforms like Azure, AWS, or GCP. Experience working with REST and SOAP-based APIs, and various file formats like CSV, PSV, JSON, or XML to extract data for data pipelines. Knowledge of the Retail/E-commerce domain is highly preferred. Collaborate with cross-functional teams to design and implement data pipelines. Understand the business objectives of the customers and translate their explicit and implicit requirements into optimal, scalable, high-performance Cloud DW solutions. Must possess excellent programming skills with SQL. Experience using Code/Version management tools like GitHub, and TFS in a continuous integration/continuous delivery (CI/CD) environment is preferred. Communicates effectively with business stakeholders and architects. Experience in Agile/Scrum/Scaled Agile application development using Jira, MS Project, or any other project management tool. Collaborate with business stakeholders to gather requirements and create comprehensive technical solutions and documentation.

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 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 , WD_BLACK, and SanDisk 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 ****************** .

The Data Scientist, Merchandising Analytics at Tractor Supply Company will play a key role in leveraging data to address complex business challenges. The role will develop advanced statistical methods using Machine Learning, AI, statistical modeling, and optimization techniques to support the merchandising strategies and broader organizational goals of TSC. Additionally, the role will contribute to setting objectives to enhance the overall data architecture and data governance within the Merchandising team. Key areas of focus within Merchandising will be Space Planning and Pricing. The Data Scientist will lead cross-functional projects, design and implement predictive models, and promote data-driven decision-making throughout the organization. Strong communication skills are essential as this role will translate complex analytical results into clear, actionable insights for both technical and non-technical stakeholders. This role work will ensure that Tractor Supply Company remains at the forefront of industry trends and emerging technologies in the data science field. **Essential Duties and Responsibilities (Min 5%)** + Work closely with key business partners to fully explore and frame a business question including objectives, goals, KPIs, decisions the analysis will support and required timing for deliverables. + Extracting available and relevant data from internal and external data sources to perform data science solution development. + Develop, maintain, and improve predictive models using R, Python, and Databricks to enhance business knowledge and processes. + Contribute and assist the team with best practices in data governance, data engineering, and data architecture. + Identify opportunities for automation and continuous improvement within data pipelines, processes, and systems. + Maintain a broad exposure to the wider ecosystem of AI / Machine Learning and ensure our team is pushing toward the most optimal solutions. + Manage multiple projects simultaneously with limited oversight including development of new technologies and maintenance of existing framework. + Foster a culture of data-driven decision making and collaborate with cross-functional teams and senior leadership to define the long-term vision and goals for data science and engineering within the organization. + Design and execute A/B tests to evaluate the effectiveness of various data-driven solutions, including designing appropriate sample sizes, metrics for evaluation, and statistical analysis plans. + Use proven, predictive science to right-size every store with localized plans that balance individual store space allocations with your top-down and bottom-up strategies. + Be a 'Go-To' person for any data analytical needs ranging from data extraction/ manipulations, long term trend analysis, statistical analysis, and modeling techniques. Perform code-review and debug with the team and assist during implementation where necessary. **Required Qualifications** _Experience_ : 3-5 years proven experience as a Data Scientist, preferably in the retail or e-commerce industry. Prefer 2+ years of experience in predictive modeling utilizing CRM or transaction information. _Education_ : Bachelor's Degree in Mathematics, Statistics, or Econometrics. Master's Degree prefered. Any combination of education and experiencce will be considered. _Professional Certifications_ : None **Preferred knowledge, skills or abilities** + Intermediate-advanced in one or more programming language (Python, PySpark, R). + Deep expertise in writing and debugging complex SQL queries. + Ability to frame business questions and create an analytics solution using statistical or other advanced analytics methodologies. + Proven advanced modeling experience in leading data-driven projects from definition to execution, driving and influencing project roadmaps. + Experience using Azure, AWS, or another cloud compute platform a plus. + Familiarity with visualization tools such as Power BI and Tableau. + Must possess high degree of aptitude in communicating both verbally and written complex analysis results to Senior & Executive Leadership. + Knowledge of A/ B testing methods; capable of designing a controlled test design, running the test and providing measurement post-hoc. + Proficiency with managing data repository and version control systems like Git. + Speak, read and write effectively in the English language. **Working Conditions** + Hybrid / Flexible working conditions **Physical Requirements** + Sitting + Standing (not walking) + Walking + Kneeling/Stooping/Bending + Lifting up to 10 pounds **Disclaimer** _This job description represents an overview of the responsibilities for the above referenced position. It is not intended to represent a comprehensive list of responsibilities. A team member should perform all duties as assigned by his/ her supervisor._ **Company Info** At Tractor Supply and Petsense by Tractor Supply, our Team Members are the heart of our success. Their dedication, passion, and hard work drive everything we do, and we are committed to supporting them with a comprehensive and accessible total reward package. We understand the evolving needs of our Team Members and their families, and we strive to offer meaningful, competitive, and sustainable benefits that support their well-being today and in the future. Our benefits extend beyond medical, dental, and vision coverage, including company-paid life and disability insurance, paid parental leave, tuition reimbursement, and family planning resources such as adoption and surrogacy assistance, for all full-time Team Members and all part-time Team Members. Part time new hires gain eligibility for TSC Benefits by averaging at least 15 hours per week during their 90-day lookback period. The lookback period starts the first of the month following the date of hire. If the 15-hour requirement was met, the benefits eligibility date will be the first day of the month following 4 months of continuous service. Please visitthis link (********************************************************************** for more specific information about the benefits and leave policies applicable to the position you're applying for. **ALREADY A TEAM MEMBER?** You must apply or refer a friend through our internal portal Click here (************************************************************************** **CONNECTION** Our Mission and Values are more than just words on the wall - they're the one constant in an ever-changing environment and the bedrock on which we build our culture. They're the core of who we are and the foundation of every decision we make. It's not just what we do that sets us apart, but how we do it. Learn More **EMPOWERMENT** We believe in managing your time for business and personal success, which is why we empower our Team Members to lead balanced lives through our benefits and total rewards offerings. For full-time and eligible part-time TSC and Petsense Team Members. We care about what you care about! Learn More **OPPORTUNITY** A lot of care goes into providing legendary service at Tractor Supply Company, which is why our Team Members are our top priority. Want a career with a clear path for growth? Your Opportunity is Out Here at Tractor Supply and Petsense. Learn More Join Our Talent Community **Nearest Major Market:** Nashville

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are seeking a highly specialized and experienced Enterprise Data Scientist to drive data quality, standardization, and insight generation across our core Oracle operational suite. This role serves as the authoritative expert on translating complex, high-volume data from Oracle Supply Chain Management (SCM), Oracle Procurement, Oracle Revenue Cycle Management (RCM), and Oracle Inventory into actionable business intelligence. The successful candidate will be focused on ensuring absolute data integrity-a critical function in a regulated healthcare environment-and transforming raw transactional data into high-value operational reports, interactive dashboards, and predictive models that optimize cost-per-case, enhance inventory accuracy, and accelerate the revenue cycle. **Essential Functions** 1. Data Validation, Integrity, and Compliance (Critical Focus) + Healthcare Data Quality Assurance: Design and implement automated data validation frameworks specific to healthcare operations, ensuring transactional data (e.g., supply usage, procedure charging, contract pricing) is accurate. + Compliance Verification: Develop reports and monitoring tools to detect anomalies and discrepancies that could impact regulatory reporting, financial audits (e.g., SOX implications), or compliance with GPO contracts and payer rules. + Revenue Leakage Identification: Specifically focus on validating the link between inventory consumption (SCM) and patient billing (RCM) data to prevent charge capture errors, ensuring accurate patient bills and maximizing appropriate reimbursement. + Root Cause Analysis: Investigate and diagnose data errors originating in Oracle system configurations (EBS or Fusion), ensuring the integrity of critical data points like item master definitions, vendor codes, and pricing tiers. 2. Standardized Operational Analytics and Reporting + KPI Development (Healthcare Specific): Define, standardize, and institutionalize critical operational metrics across the organization, such as: + Inventory Accuracy Rate for Critical Supplies + Procurement Compliance Rate (Off-Contract Spend) + Days of Supply (DOS) for high-value pharmaceuticals and implants + Cost-Per-Case Variance analysis (linking supply cost to procedure type) + Claims Denial Rate Analysis linked to operational inputs + High-Value Reporting: Develop and maintain standardized operational reports and interactive dashboards (e.g., Tableau, Power BI) focused on optimizing the efficiency and spend within the OR, Clinics, and centralized purchasing departments. + Executive Insights: Create visually compelling and accurate reports for executive leadership on the overall health and financial performance driven by Oracle system outputs. 3. Advanced Modeling and Process Optimization + Predictive Inventory Modeling: Develop sophisticated models to forecast demand volatility (e.g., flu season spikes, pandemic-related surges) for critical supplies and pharmaceuticals, minimizing shortages and excess waste. + Revenue Cycle Modeling: Build predictive models to forecast cash flow, anticipate denials based on procurement/charging patterns, and prioritize RCM work queues based on expected return. + Efficiency Optimization: Utilize machine learning techniques to optimize logistics (e.g., warehouse routing, supply replenishment schedules) and procurement processes (e.g., automated purchase order generation based on consumption velocity). 4. Collaboration and System Expertise + Serve as the technical data expert for functional Oracle teams (Finance, Clinical Operations, Materials Management), bridging the gap between business needs and data structure. + Document data lineage, metric definitions, and model methodologies to ensure transparency and trust in derived insights across the enterprise. **Required Qualifications:** + Education: Master's degree in Data Science, Health Informatics, Statistics, Industrial Engineering, or a related quantitative field. + Experience: 2+ years of experience in a specialized data science, BI, or analytics role, working within a large healthcare system, hospital, or payer environment. + Deep Oracle Domain Expertise (Mandatory): Proven practical experience analyzing, querying, and understanding the complex data models within at least two of the following Oracle applications (EBS or Fusion): + Oracle Supply Chain Management (SCM) & Inventory: Specific understanding of item masters, warehouse transactions, and consumption data. + Oracle Procurement: Expertise in purchase order data, contract management, and vendor performance metrics. + Oracle Revenue Cycle Management (RCM): Understanding of charge capture, billing, and the data linkage to operational inputs. **Technical Proficiency:** + Expert-level SQL skills for complex database querying, including experience navigating Oracle tables/views. + Proficiency in Python or R, with experience in statistical modeling, time series analysis, and machine learning libraries. + Experience developing advanced visualizations using industry-leading tools (Tableau, Power BI). + Demonstrable experience working with large-scale Enterprise Data Warehouses (EDW) in a regulated environment. + Preferred Skills and Attributes + Familiarity with clinical coding standards (CPT, ICD-10) as they relate to procedure costing and RCM data. + Understanding of HIPAA, HITECH, and general healthcare data governance standards. + Experience with advanced analytics applied to surgical services or procedural areas. + Excellent collaboration and communication skills, with the ability to present complex analytical findings to clinical and executive audiences. + Certification in Oracle applications or cloud platforms is a plus. Equal Employment Opportunity This organization does not discriminate in any way to deprive any person of employment opportunities or otherwise adversely affect the status of any employee because of race, color, religion, sex, sexual orientation, genetic information, gender identity, national origin, age, disability, citizenship, veteran status, or military or uniformed services, in accordance with all applicable governmental laws and regulations. In addition, the facility complies with all applicable federal, state and local laws governing nondiscrimination in employment. This applies to all terms and conditions of employment including, but not limited to: hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. If you are an applicant with a mental or physical disability who needs a reasonable accommodation for any part of the application or hiring process, contact the director of Human Resources at the facility to which you are seeking employment; Simply go to ************************************************* to obtain the main telephone number of the facility and ask for Human Resources.

We are seeking a highly analytical and results-oriented Data Scientist with 3 years of experience specializing in leveraging IIoT data from manufacturing environments (Rockwell PLCs/VFDs, ControlLogix) to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. We have a commitment to our products and customers but also know that our employees are the driving force behind our success. Find out what it is like to love your job. Come discover a Company that is focused on designing better cars, but also cares about you, your family and your community. By choice, we are an Equal Opportunity Employer committed to a culturally diverse workforce. For a detailed look at our benefits, click here: ********************************** This position is a salary grade 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-Onsite #LI-JL1 What you'll do… Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) SQL (Advanced querying, stored procedures, query optimization) Cloud Platforms & Big Data: Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc Data Technologies & Protocols: MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining Dimensional Control Data Analysis Manufacturing & IIoT: Industrial Internet of Things (IIoT) Architectures & Principles Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) Familiarity with Rockwell software (e.g., FactoryTalk suite, potentially Rockwell OPTICS if it's a data access/visualization tool) Manufacturing Processes & Equipment Data Machine Learning & Statistical Analysis: Predictive Maintenance, Anomaly Detection, Quality Control/Prediction, Process Optimization Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) Statistical Modeling, Hypothesis Testing Visualization & UI/Dashboard Development: Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) UI/UX Design Principles for Data Applications Data Storytelling Software Development & Operations: Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: Develop and validate machine learning and statistical models to support business strategy. Gather, manage, and analyze structured and unstructured data for reporting and analytics. Research and apply innovative analytical methodologies and techniques. Collaborate with cross-functional teams to define objectives and develop actionable insights. Interpret and present analytical results to both technical and non-technical stakeholders. Create comprehensive reports, projections, and visual presentations. Adhere to established guidelines and contribute to strategic discussions. You'll have... Bachelor's Degree in a quantitative field (e.g., Data Science, Mathematics, Statistics, or related discipline). 3+ years of experience in advanced data analytics and model development. Proficiency in tools and programming languages such as Python, R, SQL, or similar. Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis. Strong skills in handling structured and unstructured datasets for reporting and modeling. Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Proven ability to work independently and exercise sound judgment on technical approaches.

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide. Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities. Job Description: Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Internal candidates are not required to relocate near an office. The opportunity: The Senior Data Scientist provides advanced analytics support within the Business Analytics function that applies the power of data with machine learning to enhance risk-based decisions across the Health and Risk Solutions business. This team is expected to work closely with the other functional teams, in particular the Pricing, Underwriting, and Clinical teams. This position reports to the Director, Data Science within the Health and Risk Solutions business. Responsibilities include developing and monitoring predictive models to support our pricing, underwriting and clinical review processes, as well as supporting the implementation of these models. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes and bring in industry standard best practice on developing and maintaining MLOPS. How you will contribute: * Apply advanced data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization and data profiling. * Apply expertise with data wrangling, feature engineering, model training and model evaluation. * Ability to identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. * Align with best practices for data mining and modeling as set up by the team * Partners with key subject matter experts across various functional teams within the Health & Risk Solution business to help develop predictive modeling and analytic solutions based on understanding of business needs and opportunities. * Develop and maintain high-quality, robust predictive models using advanced analytic techniques * Extract and analyze internal and external data sources to help answer key business problems related to risk assessment. What you will bring with you: * Ability to work with a diverse range of people * 4-5 years of experience in developing and implementing data science techniques * BS/MS/PhD in a statistical, mathematical, or technical field (e.g., data science, computer science, actuarial science) * Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field preferred. Experience with pricing/underwriting advanced analytics application within property & casualty insurance sector is welcomed. * Business knowledge of insurance sector preferred. * Strong communication skills, with an ability to explain technical concepts to a non-technical audience. * Attention to details and accuracy and clarity in communicating results and insights * Proactive ownership of problem solving with team members and subject matter experts * Experience with a broad range of statistical programming languages, applications and data environments (e.g., R, Python, SQL, Tableau) * Strong knowledge of data science including conditioning, modeling, integration and visualization * Strong knowledge of the fundamental statistical and AI underpinnings of data science * Commitment to data compliance, model governance and security protocols * Strong business acumen to understand why and how the work we do will impact our business stakeholders Salary: $97,400-$146,100 At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions. Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you! We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds. Life is brighter when you work at Sun Life At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities. We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email ************************* to request an accommodation. For applicants residing in California, please read our employee California Privacy Policy and Notice. We do not require or administer lie detector tests as a condition of employment or continued employment. Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances. 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. Job Category: Advanced Analytics Posting End Date: 11/01/2026

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

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics 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 (***************************************************************************************************************************

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

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

Job Description We're seeking a Data Engineer to help shape the foundation of Zipliens' growing data ecosystem. Our engineering team supports a diverse set of tools and systems that power lien resolution operations, client transparency, and decision-making across the company. In this role, you'll design and maintain reliable data pipelines, optimize data storage and retrieval, and ensure that our systems deliver accurate, timely, and actionable insights. You'll collaborate closely with data analysts, product owners, and engineers to build scalable data infrastructure and contribute to data quality standards that will support the next generation of Zipliens applications. Requirements Responsibilities: Develop and optimize SQL queries and database schemas for efficient data retrieval and storage. Design, develop, and maintain scalable ETL processes. Develop and maintain scripts for data processing. Ensure scalability and performance optimization of data pipelines and queries. Develop and implement data quality checks and monitoring to ensure data accuracy and reliability. Contribute to the development and maintenance of data quality standards and best practices. Collaborate with data analysts to understand requirements and deliver solutions that enable effective reporting and analytics. Design and build reports to provide actionable insights to stakeholders. Document data models, ETL processes, and reporting solutions. Qualifications: Bachelor's degree in Business, Computer Information Systems, Computer Science, or equivalent practical experience. 4+ years of experience as a Data Engineer, Senior Data Analyst, or similar role. Strong proficiency in SQL and experience with relational and cloud-based data storage solutions (e.g., PostgreSQL, MySQL, SQL Server, Snowflake, Redshift, BigQuery). Experience with ETL tools and techniques. Experience with a general-purpose programming language (Python preferred). Familiarity with data warehousing concepts and data modeling principles. Understanding of cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus. Strong analytical and problem-solving skills with a focus on data quality, performance, and reliability. Collaborative mindset with the ability to communicate effectively with stakeholders. This role requires on-site presence at least three days per week (60%) in our Spring Hill, TN office. Benefits Comprehensive Health Benefits (Medical, Dental, and Vision), including HSA with employer contributions, FSA, and Dependent Care FSA Company-Paid Life Insurance and Short-Term Disability 401(k) Plan with Company Match Paid Time Off (Vacation, Sick Leave, and 10 Holidays) Paid Parental Leave Pay Disclosure: The total base salary range for this role is $89,000 - $120,000 annually, with an opportunity for a discretionary bonus. Final compensation will be determined based on skills and experience.

Company Archimedes About Us Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit - alignment, value and transparency - Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .______________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at ************************************ to be considered for internal opportunities. Pay Range USD $0.00 - USD $0.00 /Yr. STAR Bonus % (At Risk Maximum) 10.00 - Manager, Clinical Mgr, Pharm Supvr, CAE, Sr CAE I Work Schedule Description (e.g. M-F 8am to 5pm) Core Business Hours Overview The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support enterprise analytics, reporting, and operational data flows. This role plays a critical part in enabling data-driven decision-making across Centene and SPM by ensuring the availability, integrity, and performance of data systems. The Data Engineer collaborates with data scientists, analysts, software developers, and business stakeholders to deliver robust ETL solutions, optimize data storage and retrieval, and implement secure, compliant data architectures in cloud and hybrid environments. Operating within a healthcare-focused, compliance-heavy landscape, the Data Engineer ensures that data platforms align with regulatory standards such as HIPAA and SOC 2, while embedding automation and CI/CD practices into daily workflows. The role supports both AWS and Azure environments, leveraging cloud-native services and modern tooling to streamline data ingestion, transformation, and delivery. Responsibilities Job Responsibilities: Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments. Build and optimize data models, schemas, and storage solutions in SQL Server, PostgreSQL, and cloud-native databases. Implement CI/CD workflows for data pipeline deployment and monitoring using tools such as GitHub Actions, Azure DevOps, or Jenkins. Develop and maintain data integrations using AWS Glue, Azure Data Factory, Lambda, EventBridge, and other cloud-native services. Ensure data quality, lineage, and governance through automated validation, logging, and monitoring frameworks. Collaborate with cross-functional teams to gather requirements, design scalable solutions, and support analytics and reporting needs. Monitor and troubleshoot data pipeline performance, latency, and failures; implement proactive alerting and remediation strategies. Support data security and compliance by enforcing access controls, encryption standards, and audit logging aligned with HIPAA and SOC 2. Maintain documentation for data flows, architecture diagrams, and operational procedures. Participate in sprint planning, code reviews, and agile ceremonies to support iterative development and continuous improvement. Evaluate and integrate new data tools, frameworks, and cloud services to enhance platform capabilities. Partner with DevOps and Security teams to ensure infrastructure-as-code and secure deployment practices are followed. Participate in, adhere to, and support compliance, people and culture, and learning programs. Perform other duties as assigned. Qualifications Essential Background Requirements: Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required. Master's degree preferred. Certification/Licenses: AWS Certified Data Analytics or Solutions Architect required. Microsoft Certified: Azure Data Engineer Associate required. Certified Data Management Professional (CDMP) required. Experience: 5+ years of experience in data engineering, ETL development, or cloud data architecture required. Proven experience with SQL, ETL tools, and CI/CD pipelines required. Hands-on experience with AWS and Azure data services and infrastructure required. Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices required. Familiarity with CI/CD pipelines, automated testing, and version control systems required. Skills & Technologies: Languages & Tools: SQL, Python, Bash, Git, Terraform, PowerShell ETL & Orchestration: AWS Glue, Azure Data Factory, Apache Airflow CI/CD: GitHub Actions, Azure DevOps, Jenkins Cloud Platforms: AWS (S3, Lambda, RDS, Redshift), Azure (Blob Storage, Synapse, Functions) Monitoring & Logging: CloudWatch, Azure Monitor, ELK Stack Data Governance: Data cataloging, lineage tracking, encryption, and access control. Location : Address 5250 Virginia Way Ste 300 Location : City Brentwood Location : State/Province TN Location : Postal Code 37027 Location : Country US

Data Platform Engineer The Data Engineering team is seeking a highly skilled and experienced Data Platform Engineer with expertise in Data Engineering, Database Modeling, and modern Cloud Data Platforms. The Data Platform Engineer designs, builds, and maintains scalable and secure data infrastructure, tools, and pipelines to support data analytics, machine learning, and business intelligence initiatives. They will also work closely with other teams, such as data analysts, data scientists, and software developers, to provide them with the data they need to perform their job functions. Responsibilities * Design and implement robust, scalable, and efficient data models and pipelines across cloud-based platforms. * Develop, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks. * Build and orchestrate Databricks Notebooks and Jobs using PySpark, Spark SQL, or Scala Spark. * Develop and manage data models, data warehousing solutions, and data integration architectures in Azure. * Implement Azure Functions, Azure WebApps, and Application Insights to support microservices and monitor distributed systems. * Configure and manage Databricks clusters, including autoscaling, Photon acceleration, and job orchestration. * Collaborate with cross-functional teams to support data-driven decision-making and analytics use cases. * Ensure data quality, governance, and security across the data lifecycle. * Collaborate with product managers by estimating technical tasks and deliverables. * Uphold the mission and values of Monogram Health in all aspects of your role and activities. Position Requirements * A bachelor's degree in computer science, data science, software engineering or related field. * Minimum of five (5) years in designing and hands-on development in cloud-based analytics solutions, which includes a minimum of three (3) years' hands on work with big data frameworks and tools, such as Apache Kafka and Spark. * Expert level knowledge of Python or other scripting languages required. * Proficiency in SQL and other data query languages. * Understanding of data modeling and schema design principles * Ability to work with large datasets and perform data analysis * Designing and building data integration pipelines using API's and Streaming ingestion methods is desirable. * Familiarity with DevOps practices, including automation, CI/CD, and infrastructure as code (IaC). * Thorough understanding of Azure Cloud Infrastructure offerings. * Demonstrated problem-solving and troubleshooting skills. * Team player with demonstrated written and communication skills. Benefits * Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts * Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources * Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave * Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders. Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home. Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making. SCOPE OF WORK * Design and implement scalable data models and pipelines using modern data engineering practices * Develop and maintain production-grade analytics solutions within Azure ecosystem * Build comprehensive dashboards and reports using Power BI to support business stakeholders * Collaborate with cross-functional teams to translate business requirements into technical solutions * Optimize SQL queries and data processing workflows for performance and reliability * Support and enhance existing data infrastructure while implementing new analytics capabilities * Participate in code reviews and maintain high standards for data quality and documentation * Respond quickly to critical data issues and provide solutions under tight deadlines IDEAL CANDIDATE PROFILE Required Qualifications * 2-3+ years of experience in analytics engineering, data engineering, or similar role * Advanced SQL proficiency with experience in complex query optimization and database design * Python programming skills for data manipulation, automation, and analytics * Power BI expertise including dashboard development, DAX, and data visualization best practices * Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services * Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes * Production environment experience including deployment, monitoring, and maintenance of data systems * Strong communication skills with ability to explain technical concepts to non-technical stakeholders * Proven ability to work independently and manage multiple priorities effectively * Experience working under pressure with quick turnaround requirements Preferred Qualifications * Snowflake and/or Databricks experience with modern cloud data platforms * Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting * Machine Learning experience including model development, deployment, or MLOps practices * Experience with additional Azure services (Synapse, Logic Apps, Power Platform) * Knowledge of data governance and compliance frameworks * Experience with version control (Git) and CI/CD practices * Advanced Python libraries experience (pandas, scikit-learn, etc.)

In Summary: we're like a Gartner Magic Quadrant meets a very high-end Yelp for private equity and VC firms and their portfolio companies, connecting them with excellent solution providers, like consulting firms, marketing agencies, independent consultants, and other expert advisors. We're a nimble and rapidly growing organization with a unique business model serving a large unmet need. We're looking for top individuals who are driven, interested in all aspects of business, eager to learn, are excited to be working with private equity and VC firms and leading consultancies, and curious enough to dive into all aspects of our business and proactively help solve our clients' challenges and opportunities. Job Description As a Data & Analytics Intern at BluWave, you will have the ability to assist large, ongoing data analytics projects that span all functional areas of our business. The ideal candidate will be a proactive, curious, intelligent, and dependable problem solver who is able to work efficiently by themselves and in collaboration with other team members without letting important details slip through the cracks. This role will be in-person in our office in Brentwood, TN. Key Responsibilities Include: Working with the Data and Technology Team to assist key business stakeholders in sales/account management, marketing, finance, and research and operations. Take on other ad hoc responsibilities as needed in a fast-growth start-up, maintaining flexibility and a can-do attitude needed as part of our collaborative team and shared mission Qualifications Build clear, actionable dashboards and visualizations in BI tools; adaptable to Sigma Computing, Tableau, and Power BI Use Excel to organize, clean, and structure data for visual storytelling Write SQL queries (aggregates, joins, CTEs) to prepare and model data for reporting Apply knowledge of relational databases and data properties to ensure accuracy and consistency in visuals Communicate insights effectively to technical and non‑technical audiences through intuitive data visuals Key Characteristics A team-oriented person who loves to win, seeks ongoing personal growth, and believes in “we” more than “me” Passion for solving problems and helping grow our business through segmenting, organizing, and analyzing data Intellectual curiosity that prompts a constant search for better and more efficient ways to achieve our goals Keen ability to ask questions, explore, understand, and diagnose a wide variety of business challenges using data and related insights Extremely well-organized, detail-oriented, and highly comfortable with multi-tasking Strong and demonstrated interpersonal and communication skills who would thrive in a team-oriented environment Ability to think long-term and help take our data analytics to the next level Additional information BluWave is a top tier destination for differentiated individuals to grow their long-term careers. We are building the best intelligent B2B marketplace in the world. BluWave encourages anyone to apply to join our team. BluWave is an inclusive workplace that considers all applicants regardless of gender, race, ethnicity, sexual orientation or identification, background, disability or status. This is a paid position with an hourly rate of $15.00. Approximately 20 hours per week. Future Opportunities for Growth: As BluWave grows, numerous opportunities for additional responsibilities and advancement will present themselves to talented, ambitious, team-oriented individuals who have proven themselves in this role. Please include your resume and a message to let us know why you would be a good fit for this position. BluWave, LP is proud to be an equal opportunity employer that is committed to inclusion and diversity.