Openkyber

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist Measurement Framework Developer on a 6-month W2 contract, paying $54-$62/hour. Candidates should have expertise in statistical inference, causal analysis, A/B testing, and proficiency in Python and SQL. Remote work preferred for CST or EST candidates.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
496
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🗓️ - Date
March 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Georgia
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🧠 - Skills detailed
#Scala #Azure #SQL (Structured Query Language) #Python #Databricks #Cloud #GCP (Google Cloud Platform) #A/B Testing #GitHub #Libraries #AWS (Amazon Web Services) #Data Science
Role description
Job Title: Data Scientist Measurement Framework Developer (Statistical & Causal Inference) Location: Fully Remote (Preference for CST or EST candidates) Duration: 6-Month W2 Contract Pay Rate: $54 $62/hour (based on experience) Employment Type: Contract (W2) About the Role We are seeking a Data Scientist with strong expertise in statistical inference and causal analysis to support the development of measurement frameworks for large-scale enterprise solutions. This role is ideal for someone who thrives in fast-paced environments, enjoys designing experiments, and can deliver end-to-end data science solutions with a strong focus on production-level implementation and cross-functional collaboration. Key Responsibilities Design, build, and implement scalable measurement frameworks for production environments Apply statistical inference and causal methodologies (e.g., A/B testing, propensity score matching, instrumental variables) Develop and analyze both controlled experiments and observational studies Partner with stakeholders to define KPIs and measurement strategies Write clean, maintainable, and reproducible code for statistical analysis and reporting Contribute to CI/CD processes and manage code using GitHub Enterprise Deliver insights quickly while maintaining high analytical rigor and collaboration standards Required Qualifications Strong foundation in hypothesis testing, OLS, GLM, and causal inference techniques Hands-on experience with A/B testing and experimental design Proficiency in Python and SQL, including libraries such as statsmodels, scikit-learn, DoWhy, or linearmodels Experience working with production-level code and end-to-end data science workflows Familiarity with Databricks or similar enterprise data platforms Excellent communication skills and ability to collaborate across teams Self-starter mindset with strong ownership and accountability Preferred Qualifications Experience in retail, inventory management, or operations research Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform What We're Looking For A "measurement developer" mindset with a strong balance of statistical rigor and engineering execution Ability to move quickly while maintaining quality and clarity Strong collaborator who can translate complex analyses into actionable insights OpenKyber offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. For applications and inquiries, contact: hirings@openkyber.com