Senior Data Scientist - Humana
Indianapolis, IN
About the Job
Become a part of our caring community and help us put health first
Growth Analytics & AI within Humana is dedicated to transforming members' journeys and Humana's services using technology and analytics. We are looking for a Senior Data Scientist who will utilize cutting-edge AI, NLP, GenAI techniques, build predictive modeling, test rigorous hypotheses, design studies, and turn data into actionable insights. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative AI, machine learning, and R&D platforms. The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The ideal candidate will have hands-on experience with healthcare data, demonstrated innovative, and creative methods for overcoming testing constraints, as well as successfully applying AI, NLP, GenAI, and machine learning techniques to address business needs.
The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist's work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Exercises considerable latitude in determining objectives and approaches to assignments.
Use your skills to make an impact
This is a unique opportunity for a motivated individual to influence Humana's vision to provide coordinated, integrated member journey via multiple innovative solutions. The Senior Data Scientist creates reports, projections, models, and presentations to support business strategy and tactics. This role influences department's strategy, contributes to the decision making on complex issues regarding technical approach for project components, and works on model building use cases with minimal supervision. Exercises considerable latitude in determining objectives and approaches to assignments. As a Senior Data Scientist, you will:
+ Develop and validate machine learning and statistical models, predictions, reports, and presentations to support business strategy and tactics
+ Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
+ Research and evaluate innovative analytical methodologies, approaches, and solutions
+ Collaborate with analytics and data teams to set objectives, approaches, and work plans
+ Interpret and communicate analytic results to analytical and non-analytical business partners
+ Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas
+ Compile and present regular and ad-hoc project status reports
+ Follow established guidelines/procedures
Required Qualifications
+ Master's Degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, Statistics, or related quantitative field
+ 3+ years of experience in advanced data analytics
+ Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, DataRobot or similar statistical and scripting tools
+ Experience developing and validating machine learning and statistical forecasting models or predictive models, including Random Forest, Gradient Boosting, Neural Networks, cluster analysis, regression analysis, time series, and forecasting
+ Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
+ Experience interpreting and communicating analytic results to analytical and non-analytical business partners
+ Ability to exercise independent judgment and decision making on moderately complex to complex issues regarding technical approach for project components
+ Naturally curious and comfortable with ambiguity and demonstrate critical thinking
+ Clear and concise verbal and written communication skills, with a proven ability to translate complex methodologies and analytical results to non-technical business insights
+ Strong interpersonal and consulting skills
Preferred Qualifications
+ PhD in a quantitative discipline, such as Computer Science, Data Science, Mathematics or Statistics and/or related quantitative field
+ Healthcare or managed care experience
+ Experience in Natural Language Processing (NLP)
+ Experience developing and tuning LLM applications, utilizing GPT, LLAMA, or other models
+ Experience in health economics, test & learn, and/or experiment design
+ Experience building large-scale predictive models
+ Experience building visualization and reports using Tableau or Power BI
+ Experience in Big Data environment specifically PySpark and/or Databricks
+ Experience in cloud computing, Azure or AWS
+ Experience in deep learning and recommendation
+ Experience in cost of care and trend analysis
+ Actuarial background or experience
Work-At-Home Requirements
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
+ Satellite, cellular and microwave connection can be used only if approved by leadership
+ Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
+ Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
+ Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
#LI-WG1
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$104,800 - $144,300 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and 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. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
Growth Analytics & AI within Humana is dedicated to transforming members' journeys and Humana's services using technology and analytics. We are looking for a Senior Data Scientist who will utilize cutting-edge AI, NLP, GenAI techniques, build predictive modeling, test rigorous hypotheses, design studies, and turn data into actionable insights. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative AI, machine learning, and R&D platforms. The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The ideal candidate will have hands-on experience with healthcare data, demonstrated innovative, and creative methods for overcoming testing constraints, as well as successfully applying AI, NLP, GenAI, and machine learning techniques to address business needs.
The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist's work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Exercises considerable latitude in determining objectives and approaches to assignments.
Use your skills to make an impact
This is a unique opportunity for a motivated individual to influence Humana's vision to provide coordinated, integrated member journey via multiple innovative solutions. The Senior Data Scientist creates reports, projections, models, and presentations to support business strategy and tactics. This role influences department's strategy, contributes to the decision making on complex issues regarding technical approach for project components, and works on model building use cases with minimal supervision. Exercises considerable latitude in determining objectives and approaches to assignments. As a Senior Data Scientist, you will:
+ Develop and validate machine learning and statistical models, predictions, reports, and presentations to support business strategy and tactics
+ Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
+ Research and evaluate innovative analytical methodologies, approaches, and solutions
+ Collaborate with analytics and data teams to set objectives, approaches, and work plans
+ Interpret and communicate analytic results to analytical and non-analytical business partners
+ Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas
+ Compile and present regular and ad-hoc project status reports
+ Follow established guidelines/procedures
Required Qualifications
+ Master's Degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, Statistics, or related quantitative field
+ 3+ years of experience in advanced data analytics
+ Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, DataRobot or similar statistical and scripting tools
+ Experience developing and validating machine learning and statistical forecasting models or predictive models, including Random Forest, Gradient Boosting, Neural Networks, cluster analysis, regression analysis, time series, and forecasting
+ Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
+ Experience interpreting and communicating analytic results to analytical and non-analytical business partners
+ Ability to exercise independent judgment and decision making on moderately complex to complex issues regarding technical approach for project components
+ Naturally curious and comfortable with ambiguity and demonstrate critical thinking
+ Clear and concise verbal and written communication skills, with a proven ability to translate complex methodologies and analytical results to non-technical business insights
+ Strong interpersonal and consulting skills
Preferred Qualifications
+ PhD in a quantitative discipline, such as Computer Science, Data Science, Mathematics or Statistics and/or related quantitative field
+ Healthcare or managed care experience
+ Experience in Natural Language Processing (NLP)
+ Experience developing and tuning LLM applications, utilizing GPT, LLAMA, or other models
+ Experience in health economics, test & learn, and/or experiment design
+ Experience building large-scale predictive models
+ Experience building visualization and reports using Tableau or Power BI
+ Experience in Big Data environment specifically PySpark and/or Databricks
+ Experience in cloud computing, Azure or AWS
+ Experience in deep learning and recommendation
+ Experience in cost of care and trend analysis
+ Actuarial background or experience
Work-At-Home Requirements
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
+ Satellite, cellular and microwave connection can be used only if approved by leadership
+ Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
+ Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
+ Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
#LI-WG1
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$104,800 - $144,300 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and 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. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
Source : Humana