Lead Data Scientist

Talentify; Detroit (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Talentify in Detroit is seeking a Lead Data Scientist, Healthcare Analytics to partner with system leaders and analysts to define data science solutions and architectures. You will lead a team of data scientists and collaborate across operations to deploy insights.

You'll apply advanced modeling, visualization, and storytelling to present findings to executives and non-technical audiences, using Agile methodologies to drive delivery and adoption.

Qualifications

• BS degree in Statistics/Mathematics/Econometrics/Public Health/Epidemiology or related field.
• Master's degree or PhD preferred.
• 5+ years of professional work experience.
• 3+ years of predictive analytics, forecasting, and optimization using Python/R/SAS; 2+ years in US Healthcare.
• 1+ year experience with cloud Big Data Stack; strong SQL with RDBMSs.
• Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
• Experience with Power BI visualization; data storytelling for business users.
• Strong communication and storytelling skills; collaborative across teams.

Responsibilities

• Lead data science projects for healthcare analytics and partner with stakeholders.
• Define, architect, and design data science solutions and architectures.
• Collaborate with data scientists, analysts, and business stakeholders to implement solutions.
• Present findings clearly to system leaders and non-technical audiences.
• Lead projects with Agile methodologies and drive delivery across teams.

Skills

Machine learning

Data analytics

Data storytelling

Agile project leadership

Education

Bachelor's degree in Statistics/Mathematics/Econometrics/Public Health/Epidemiology

Master's degree or PhD preferred

Tools

Python

R

SAS

SQL

Power BI

R Shiny

ggplot2

Flask

D3

Qlik

Alteryx

Job description

GENERAL SUMMARY:

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist architects, defines, and design the data science solution, and works with Data Scientist, Associate Data Scientist, and other business analysts to implement the data science solution. Works/collaborates with various teams to build the solution and implement the solution in operations. Lead Data Scientist, Healthcare Analytics develops cutting edge solutions to resolve complex business problems. Skilled in using statistical techniques and good at solution architecting, design and implementing the solution. Hands on in using a variety of common analytical and AI tools. Will present findings in a compelling manner to system leaders, technical and non-technical audience. The position requires a team lead mindset who is ready to lead and deliver the projects using agile methodology.

EDUCATION/EXPERIENCE REQUIRED:

• Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field.
• Master's degree or PhD degree is preferred.
• Five plus (5+) years of professional work experience.
• Three plus (3+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry.
• One plus (1+) year experience working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. Advanced SQL skills working with RDBMSs such as SQL Server, Oracle etc.
• Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
• Experience working with data visualization tools or Data Visualization Designers in Power BI.
• Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. Strong communication and presentation skills.
• Effective communication and storytelling skills.
• Passion for continuous learning and contributing to hands on development.
• A true team player. Collaborative mindset for effective communication across teams.