Data Scientist

Company :

enGen

Job Description : 

JOB SUMMARY

This is a hybrid role, requiring onsite work at our Pittsburgh office on Tuesdays, Wednesdays, and Thursdays.

***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***

This job builds new analytical solutions which inform business processes and operations through data visualizations at the heart of our advanced analytics capability. The incumbent will develop Power BI dashboards for both internal and external clients. The incumbent will work with product areas and clients to gather requirements based on business needs. The incumbent will be required to communicate directly with clients and internal leaders on updates and requirements. Identifies and researches data driven insights to drive business outcomes. Continuously source, collect, clean, model, and manipulate data into ideal structures to develop an application user interface that is clean and user-friendly for specific business problems or domains.

ESSENTIAL RESPONSIBILITIES

• Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for:
• Executing specific use cases generated by your manager
• Identifying data elements needed and where to get them (including proxies)
• Assembling data sets independently using knowledge of Highmark operational and analytic data structures
• Deliver the analytical solution to a specific business problem
• Documenting objectives, assumptions and processes in line with our standards
• Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Experience of several advanced analytical techniques, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing)
• Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for colleagues, the analyses performed, and how the results link directly back to business objectives, and identify a path to implementation to drive frontline workflow.
• Work with manager to plan, prepare and deliver/coordinate all elements of the analysis in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly).
• Work with more experienced team members to explore new analytical skills and approaches.
• Other duties as assigned or requested.​

EDUCATION

Required

• Master's Degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering or closely related field OR Bachelor's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering plus 3 years of experience in lieu of Master's degree

Preferred

• Master’s degree in a Data Analytic related field

EXPERIENCE

Required

• None

Preferred

• Data Science or Data Analysis experience preferred with master’s degree (1 – 3 years)
• Data Science or Data Analysis experience preferred with bachelor’s degree (4+ years)

  

LICENSES AND CERTIFICATIONS

Required

• None

Preferred

• None

SKILLS

• Analysis of business problems/needs
• Analytical and Logical Reasoning/Thinking 
• Collaborative Problem Solving 
• Data Analysis with SQL, BigQuery
• Statistical Analysis with Python, R
• Written & Oral Presentation Skills
• Basic proto-typing/front end skills ​

Languages (other than English)

None

Travel Required

0% - 25%

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

Position Type

Office-Based

Teaches / trains others regularly

Occasionally

Travel regularly from the office to various work sites or from site-to-site

Occasionally

Works primarily out-of-the office selling products/ser