Jobs via Dice
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in the finance industry, offering a 6-month contract-to-hire. Pay ranges from $60 to $75 per hour. Requires strong SQL skills, experience with large datasets, and the ability to build analytical frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
January 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Baltimore, MD
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🧠 - Skills detailed
#ML (Machine Learning) #Data Science #"ETL (Extract #Transform #Load)" #Datasets #AI (Artificial Intelligence) #SQL (Structured Query Language) #Data Extraction #Predictive Modeling
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Collabera LLC, is seeking the following. Apply via Dice today!
This is not an AI Engineer/ML Engineer role.
Position: Senior Data Scientist
Industry: Finance
Type: 6 months contract-to-hire (2 days/week on-site, remote flexibility)
Location (your choice): Evansville, IN / Baltimore, MD / Wilmington, DE / New York, NY / Fort Worth, TX / Irving, TX / Tempe, AZ / Charlotte, NC / Fort Mills, SC
Day to day:
• Design and execute segmentation and customer analysis to support marketing and acquisition decisions.
• Build and refine statistical models to answer core business questions.
• Develop analytical frameworks to structure complex or unscoped work.
• Use SQL to query, validate, and analyze data across multiple sources.
• Partner with marketing and data stakeholders to prioritize, validate, and socialize insights.
• Create clear, consumable outputs (decks, summaries, dashboards as needed).
• Reduce reliance on ad-hoc analysis by systematizing repeatable analytical approaches.
Must haves:
• Strong analytical foundation with experience in segmentation, statistical modeling, and structured analysis.
• Proven ability to build analytical frameworks from ambiguous business questions.
• Advanced SQL skills for data extraction, transformation, and analysis.
• Experience working with large, complex datasets and drawing actionable insights.
• Background in data science or advanced analytics (predictive modeling, experimentation, or similar).
• Ability to translate analysis into clear business recommendations.
• Independent operator who can ramp quickly and clear analytical backlogs.
Salary and Compensation:
The hourly rate for this position is between $60 - $75 per hour. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits:
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Collabera LLC, is seeking the following. Apply via Dice today!
This is not an AI Engineer/ML Engineer role.
Position: Senior Data Scientist
Industry: Finance
Type: 6 months contract-to-hire (2 days/week on-site, remote flexibility)
Location (your choice): Evansville, IN / Baltimore, MD / Wilmington, DE / New York, NY / Fort Worth, TX / Irving, TX / Tempe, AZ / Charlotte, NC / Fort Mills, SC
Day to day:
• Design and execute segmentation and customer analysis to support marketing and acquisition decisions.
• Build and refine statistical models to answer core business questions.
• Develop analytical frameworks to structure complex or unscoped work.
• Use SQL to query, validate, and analyze data across multiple sources.
• Partner with marketing and data stakeholders to prioritize, validate, and socialize insights.
• Create clear, consumable outputs (decks, summaries, dashboards as needed).
• Reduce reliance on ad-hoc analysis by systematizing repeatable analytical approaches.
Must haves:
• Strong analytical foundation with experience in segmentation, statistical modeling, and structured analysis.
• Proven ability to build analytical frameworks from ambiguous business questions.
• Advanced SQL skills for data extraction, transformation, and analysis.
• Experience working with large, complex datasets and drawing actionable insights.
• Background in data science or advanced analytics (predictive modeling, experimentation, or similar).
• Ability to translate analysis into clear business recommendations.
• Independent operator who can ramp quickly and clear analytical backlogs.
Salary and Compensation:
The hourly rate for this position is between $60 - $75 per hour. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits:
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).
