Find Jobs Find Talent
Sr Data Scientist
Eden Prairie, Minnesota  |  Remote, Onsite
Contract Position
It appears that you have already applied to this job.
Applied on May 21, 2022
Job Id #53952 Posted February 7, 2022


Description:

  • Enterprise Issue Management is looking for a Sr Data Scientist who will be working with big data across multiple healthcare platforms.
  • This role will be responsible for modeling complex business problems, uncovering data anomalies, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
  • This individual will need to have a natural desire to go beneath the surface of a problem to ask the right (business) questions, and produce answers in support by digging into large data sources and applying statistical rigor.
  • The ideal candidate will have a knack for thinking Big Picture as well as enjoy digging into the details, applying 3 key elements to challenging healthcare problems: Analytical Rigor, Creativity and Business Focus.

Primary Responsibilities:

  • Analyze complex consumer and case data (e.g. relational databases, star schemas, etc) and turn into actionable insights in support of the long and short term goals of the company
  • Responsible for integrating and preparing large, varied datasets, both internal member behaviors as well as exogenous data sources, to get a holistic understanding of member preferences and behaviors
  • Build predictive and analytical models by using techniques such as logistic regression, OLS regression, k-means segmentation, PCA, decision trees
  • Produce meaningful recommendations for influencing member engagement and outreach strategies by using data mining, statistical analysis and predictive modeling
  • Dig beneath the surface of a problem to ascertain the Why in the backend data, uncover the true reasons data patterns and skews may be showing up, and convert those findings into clearly understandable, data-backed recommendations, to influence future member engagement strategies
  • Responsible for uncovering data anomalies, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
  • Distil patterns in data, many times dirty data that doesnt make sense. Ability to spot dirty data and think out of the box about how to accommodate in order to produce trustworthy results given these constraints
  • Develop presentations around insights and tell compelling stories with the data, and deliver to constituents at all levels: strategic, tactical, operational, and across functions: marketing, operations, finance, etc.
  • Communicate and present findings, orally and visually in a way that can be easily understood by business counterparts
  • Highly motivated and independent self-starter

Required Qualifications:

  • Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science or Actuarial Science
  • 3+ years of experience in advanced SQL working with relational data in large enterprise environments with large datasets (e.g. 1+billion records)
  • 3+ years of experience with data extraction/manipulation/transformation in environments such as SQL server, Netezza, Teradata, or Oracle
  • 3+ years of experience working with statistics to perform analyses, data modeling and predictive behavioral modeling is required
  • 3+ years of experience in one of the following languages: R, Python, SAS
  • 3+ years of experience developing compelling presentations around insights to be delivered to leaders across the organization and external customers
  • 3+ years of experience combining numerous exogenous data sources (e.g. demographics/psychographics/SDoH) with consumer transactional and behavioral attributes to support advanced modeling efforts
  • 3+ years of statistical modeling experience using analytical algorithms such as Logistic Regression, OLS regression, etc.
  • Excellent written and communication skills

Preferred Qualifications:

  • Masters degree in a quantitative/business field
  • Highly evolved problem-solving skills and adept at understanding and resolving unstructured problems
  • Experience with Microsoft Azure or Amazon AWS
  • Experience with experimental design (design of experiments)
  • Knowledge of healthcare administrative data (medical claims, enrollment, provider data)
  • Experience with applications such as Jupyter Notebooks, Spark
  • Strong knowledge of extracting and developing key consumer insights within a population, distilling insights, and presenting to business leadership
  • Experience with text mining/text analytics

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact hr@horizontal.com.

All applicants applying must be legally authorized to work in the country of employment.

EQUAL OPPORTUNITY EMPLOYMENT SURVEY

What is your gender?

What is your ethnicity?

What is your Veteran / U.S. Military Status?

Do you identify with one or more of the classifications of protected veterans below?

If yes, please indicate by checking the appropriate box below

Do you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Horizontal is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

Success!

You have saved your first job! To see all your Saved Jobs, click here. Or continue scrolling through jobs and bookmark openings that catch your eye and apply for those jobs later.

Return to Job Search
Close

We’re sorry!

There are currently no open positions in your location or accepting applications from out of the country

Return to Home
Close
X
Cookies help us improve your website experience.
By using our website, you agree to our use of cookies.
Confirm