Data Scientist Sr.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

About the Role

We’re looking for a Data Scientist with deep expertise in causal inference, experimentation, and advanced statistical modeling to help us understand not just what is happening in our data, but why. This role blends modern machine‑learning techniques with rigorous causal reasoning to drive high‑impact decisions across the business.

You’ll work closely with cross‑functional teams to design experiments, build causal models, and deliver insights that directly influence product, operations, and strategic initiatives. 

Key Responsibilities

• Develop and implement causal inference models to quantify the impact of business actions, product changes, and operational interventions.
• Build and maintain causal graphs (DAGs) to represent assumptions and guide analysis.
• Apply advanced methods such as:
  • Propensity score matching / weighting
  • Instrumental variables
  • Double Machine Learning (DML)
  • AIPW / TMLE
  • Synthetic controls
• Partner with engineering and product teams to design and evaluate A/B tests and quasi‑experiments.
• Use machine‑learning models to support causal estimation and predictive analytics.
• Communicate findings clearly to technical and non‑technical stakeholders.
• Contribute to the development of reusable causal modeling frameworks and best practices.

Required Qualifications

• Strong foundation in statistics, econometrics, or causal inference.
• Hands‑on experience with causal modeling libraries (e.g., DoWhy, EconML, CausalML, PyTorch‑based causal frameworks).
• Proficiency in Python and SQL.
• Experience with ML techniques such as regression, tree‑based models, uplift modeling, and time‑series analysis.
• Ability to translate ambiguous business questions into structured causal problems.
• Experience working with large datasets and cloud platforms (Databricks, Spark, or similar).

Preferred Qualifications

• Graduate degree in Statistics, Economics, Computer Science, or related field.
• Experience in manufacturing, supply chain, or industrial analytics.
• Familiarity with Databricks MLflow, Delta Lake, and distributed computing.
• Experience designing and analyzing A/B tests at scale.

Strong communication skills and ability to influence decision‑makers.

Working arrangements:

Based on this role’s business requirements, this is an hybrid position based out at Plano TX.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Salary and Other Compensation:

The annual salary for this position is depending on experience and other qualifications of the successful candidate.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.