This includes delivery of data science products from incubation to deployment to monitoring; including solutioning for the business need, data analysis, feature engineering, building and validating models, deploying solutions to enterprise production platforms, and monitoring model performance and reliability. At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed. Nashville, TN30+ days ago A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. Company Summary: Revance is a global company developing, producing, and distributing industry-leading, differentiated products across aesthetics, skincare, and therapeutics. Collaborate with data engineering team to write clean, well-documented SQL queries against our Snowflake data warehouse to extract, transform, and analyze data. Chennai, Tennessee13 days ago li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:'calibri' , sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre">Experience with at least two of the major frameworks – Tensorflow, PyTorch, MXNet, Sagemaker, H2O, SparkML. Educational Qualifications: Bachelors in Computer Science, Engineering or relevant field or master degree in computer applications, Statistics, Operations research.
ul style="margin-top:0px;margin-bottom:10px;color:rgb( 0 , 0 , 0 );font-family:'libre franklin' , sans-serif;font-size:16px;font-style:normal;font-weight:400;letter-spacing:normal;text-indent:0px;text-transform:none;word-spacing:0px;white-space:normal;background-color:rgb( 255 , 255 , 255 )">5+ years of progressive experience in data science, advanced analytics, or a closely related field, with a strong preference supporting marketing or commercial teams. This role will partner closely with marketing, sales, operations, supply chain, corporate, and finance teams to identify opportunities, develop predictive and prescriptive models, and deliver actionable insights that improve revenue growth, operational efficiency, and margin performance. Brentwood, TN30+ days ago This role is responsible for developing, implementing, and maintaining statistical models, machine learning, and applied AI solutions to improve resident outcomes, optimize staffing and occupancy, enhance quality metrics, and support regulatory compliance. Advanced SQL skills and experience working with enterprise data warehouses and large-scale datasets, including data extraction, transformation, and performance-aware querying. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. PRIMARY PURPOSE OF THE ROLE: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions. ul>Utilizes expertise in statistical and machine learning methods using tools such as Python and proficiency in big data cloud infrastructures to perform tasks related to all aspects of model development, including data extraction/data load, data cleansing, predictive analysis and model build. Researches through analysis of data from various internal and external sources to identify opportunities for new services/products that contribute to FMI (Fixed Marketing Investments), VME (Variable Marketing Expenditures), Inventory Mix and Sales Performance. Brentwood, TN30+ days ago Key Responsibilities: Analyze data from areas such as sales, finance, operations, and supply chain to uncover insights and trends. The position works across multiple departments to analyze information, identify trends, and build tools that improve performance and efficiency. Data Scientist Sedgwick Claims Management Services, Inc.Data ScientistTN30+ days ago Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Partners with both business and IT leaders to influence how the organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Nashville, TN30+ days ago Manage and visualize HCAHPS "Top Box" performance across all domains, including providing early-warning alerts for units trending below benchmarks and identify drivers of success in high-performing areas, and implementing best practices for data management, including data quality assessment and data validation. Proficiency Advanced proficiency in modern visualization suites (e.g., Tableau, Power BI, Looker) and programmatic libraries (e.g., Matplotlib, Seaborn, Plotly), with demonstrated experience creating interactive executive dashboards to granular technical deep dives. Every business unit has a Data Science team member embedded within it - someone who doesnt just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then driving our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. Youll sit on our central Data Science & Analytics team but you'll be embedded in one of Jerrys core product or business areas - growth, product, AI and automation, strategic partnerships - and own the analytical function for that business unit end-to-end. p>Every business unit has a Data Science team member embedded within it - someone who doesnt just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. Youll sit on our central Data Science & Analytics team but you'll be embedded in one of Jerrys core business areas - growth, product, AI and automation, strategic partnerships - and own the analytical function for that business unit end-to-end. p>Every business unit has a Data Science team member embedded within it - someone who doesnt just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. Youll sit on our central Data Science & Analytics team but you'll be embedded in one of Jerrys core business areas - growth, product, AI and automation, strategic partnerships - and own the analytical function for that business unit end-to-end. p>Every business unit has a Data Science team member embedded within it - someone who doesnt just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. Youll sit on our central Data Science & Analytics team but you'll be embedded in one of Jerrys core business areas - growth, product, AI and automation, strategic partnerships - and own the analytical function for that business unit end-to-end. From a senior position, and under very limited supervision, the Healthcare Information Data Scientist Sr independtly functions in an expert capacity producing innovative solutions driven by exploratory data analysis from complex and high-dimensional databases. - Analyzes problems and develops solutions involving computer software programs and applications by designing programs or queries to retrieve complex data from databases in one or more programming languages.
From a senior position, and under very limited supervision, the Healthcare Information Data Scientist Sr independtly functions in an expert capacity producing innovative solutions driven by exploratory data analysis from complex and high-dimensional databases. Analyzes problems and develops solutions involving computer software programs and applications by designing programs or queries to retrieve complex data from databases in one or more programming languages. GOODLETTSVILLE, Tennessee30+ days ago Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. Day to day work will include post-campaign analysis, curation of audiences for campaigns, and developing predictive and deterministic models to deliver insights. p>To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. p>Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Nashville, TN30+ days ago Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program. The Senior Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to solve healthcare business problems. Nashville, TN30+ days ago ul>Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits. Nashville, District of Columbia30+ days ago Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced analytics, and business intelligence platforms that provide actionable matter, financial, and operational insights to firm leadership. Oversee integrations between AI applications and internal business systems, including document management, matter management, financial, timekeeping, and knowledge management platforms, utilizing secure and governed integration frameworks such as Model Context Protocol (MCP). Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. What you'll work on: Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights. ul>Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process. 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. Nashville, TN30+ days ago em>Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans, accident, critical illness, hospital indemnity, auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance, and more. The Manager, Data Science, is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. Nashville, TN30+ days ago Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. strong>Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Rezult Group will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). The Data Analyst is responsible for supporting business decision-making through analysis, data modeling, reporting, and the management of enterprise data assets. Nashville, TN30+ days ago li>Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. ul>Define and lead Sedgwicks enterprise data science strategy aligned to claims optimization, risk management, fraud detection, and client performance analytics. Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. p>Position Purpose: The Senior Director of Clinical Data Science leads the strategy, development, and deployment of advanced analytics and machine learning models that power clinical decision-making across the organization. Strong expertise in statistical modeling, machine learning, and causal inference methods used to evaluate program effectiveness (e.g., treatment effect modeling, propensity score matching, quasi-experimental methods). Nashville, TN30+ days ago If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Nashville, TN30+ days ago You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Nashville, TN30+ days ago Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company's primary business segments: Power & Energy, Construction Industries and Resource Industries are solving customers' toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team. With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. Goodlettsville, TN30+ days ago Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. Day to day work will include post-campaign analysis, curation of audiences for campaigns, and developing predictive and deterministic models to deliver insights. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. Nashville, TN30+ days ago Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients; Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows; Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases; Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards; Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases; Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes; Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases; Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams; Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps; Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact. |