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Decision Scientist

Job in Glen Allen, Henrico County, Virginia, 23060, USA
Listing for: Intellisoft Technologies
Full Time position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 58 - 80 USD Hourly USD 58.00 80.00 HOUR
Job Description & How to Apply Below
Position: Decision Scientist -

Please go through the JD,

Position:
Decision Scientist

Location:

Woonsocket, RI / Remote
Duration: 6+ Months
Client: CVS Health Corporation - Providence
Visa Restrictions:
No OPT, CPT & H1b
Sub Vending:
No
Pay Rate: $58/Hr on W2 without benefits
Bill Rate: $80


Candidate must reside within 25 miles of job location.
false
Candidate must have a Public Profile.
Yes
Exclusive to Apex
Yes
Candidate must be authorized to work without sponsorship
Yes

In order to be eligible for this role, consultant must be authorized to work in the US without sponsorship now or in the future.

Required Skills
5+ years of experience Proficiency in Python and SQL for data analysis and manipulation. Strong understanding of impact analyses, e.g., power analyses, A/B testing.
Additional Skills

Job Description
Decision Scientist (DecS or Sr DecS)
Description:
We are seeking a Decision Scientist to leverage data modeling to measure the success of our programs. This role will involve aligning on success metrics upfront, proposing methodologies for testing, and implementing various testing strategies (e.g., A/B testing). The successful candidate will be responsible for analyzing program performance and effectively communicating results to external stakeholders, ensuring that insights drive data-informed decisions.
Skill Requirements:

· Proficiency in Python and SQL for data analysis and manipulation.

· Strong understanding of impact analyses, e.g., power analyses, A/B testing.

· Experience with exploring data to create datasets that can be used for a reliable source of truth for evaluation.

· Understanding of lead and lag indicators that align with long-term business outcomes.

· Ability to present complex data insights clearly and effectively to external stakeholders.

· Excellent communication skills and visualization to convey results and recommendations to diverse audiences.

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