Senior Associate - I&A (Data Science)

Keka Technologies Private Limited; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Chryselys is hiring a Senior Associate – Insights & Analytics (Data Science) to drive causal analytics and measurement across commercial datasets. You’ll design experiments, perform lift attribution, and collaborate with stakeholders to translate findings into actionable insights.

The role emphasizes quasi-experimental methods, uplift modeling, and end-to-end data storytelling using Python, R, and cloud tools. Join a fast-paced analytics team focused on healthcare data science.

Qualifications

• Degree in data science, statistics, CS, engineering or related quantitative field.
• 2–5 years in data science, preferably pharma/healthcare.
• Experience with Sales, Claims and Payer datasets.
• Strong communication and stakeholder management skills.

Responsibilities

• Conduct causal analyses and uplift modeling to quantify incremental impact.
• Design experiments and compute MDE; apply observational causal methods.
• Partner with business leaders to translate insights into actions and dashboards.

Skills

Causal analytics

Lift measurement

A/B testing

Observational causal inference

Python

R

SQL

AWS

Education

Bachelor's or master's in data science, statistics, CS or related quantitative field

Tools

Python (statsmodels, scipy)

DoWhy / CausalPy

TensorFlow / Scikit-learn

Pandas

PowerBI / Tableau

Jupyter / SageMaker

Job description

We’re Hiring: Senior Associate – Insights & Analytics (Data Science) at Chryselys

Department: Insights & Analytics

Job Type: Full-time

Reports To: Manager

About Us:

Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.

We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.

Who we are:

People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.

Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.

Technology - Our solutions are Business centric built on cloud native technologies.

Role Overview:

We are looking for a Data Science specialist who can hit the ground running immediately in commercial measurement and causal analytics. The ideal candidate must go beyond standard machine learning modeling to demonstrate expertise in experimental design, statistical measurement, and observational causal inference.

Key Technical Requirements & Skills

• Core Focus: Causal Analytics, Lift Measurement, and Impact Attribution (rather than pure Predictive Machine Learning).
• Statistical power calculations, sample size determination, and Minimum Detectable Effect (MDE).
• In-depth understanding of A/B test mechanics and variance reduction techniques.
• Quasi-Experimental & Observational Causal Inference:
• Difference-in-Differences (DiD)
• Synthetic Controls
• Propensity Score Matching (PSM)
• Regression Discontinuity Designs (RDD)
• Uplift & Behavioral Attribution:
• Demonstrated experience proving that a specific model, campaign, or feature drove a true incrementality/change in user or customer behavior.
• Hands-on experience with uplift modeling techniques.
• Technical Stack:
• Strong proficiency in Python, specifically statistical packages such as statsmodels, scipy.stats, CausalPy, or DoWhy

What You Bring:

• Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.
• Experience: 2-5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
• Skills:
  • Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.
  • Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.
  • Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
  • Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.
  • Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
  • Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
  • A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.

Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.