Data Science Engineer

Tekskills Inc.; Dadri; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Tekskills Inc. is seeking a Senior Data Analyst / Data Science Engineer in Gurgaon to drive analytics initiatives and build production-ready Python solutions.

You will translate complex Excel models into robust Python pipelines, validate parity with existing models, and collaborate with business stakeholders on model assumptions. The ideal candidate has 7+ years hands-on experience in Python-based analytics, statistical modelling (regression, forecasting, GLM), data wrangling, and delivering

Qualifications

• 7+ years of hands-on analytics experience with Python proficiency (pandas, numpy, statsmodels, scikit-learn).
• Strong regression techniques (linear, logistic, regularization, model diagnostics, cross-validation).
• Experience converting Excel models into Python (complex formulas, lookups, macros/VBA logic to Python pipelines).
• SQL for data extraction and joins; solid EDA and data quality practices.

Responsibilities

• Convert Excel models into Python pipelines with parity validation.
• Deploy production-ready code with tests and documentation.
• Engage with business stakeholders on model assumptions and requirements.
• Maintain notebook hygiene and use version control for reproducibility.

Skills

Python

Pandas

NumPy

Statsmodels

Scikit-learn

Regression

Excel to Python conversion

SQL

EDA

Data wrangling

Communication

Git

Tools

Git

Job description

Role: Senior Data Analyst / Data Science Engineer
Level: Senior (7-9 years)
Location: Gurgaon

7+ years of handson experience in Python-based analytics, statistical modelling (regression, forecasting, GLM), and strong data wrangling. You will convert complex Excel models into Python, validate parity, enhance them with software engineering best practices, and deploy them as reusable components/pipelines. The ideal candidate is equally comfortable discussing model assumptions with business stakeholders and implementing productionready code with tests and documentation.

Musthave qualifications

• 710 years in analytics/data science with demonstrable Python proficiency (pandas, numpy, statsmodels, scikitlearn).
• Strong command of regression techniques (linear, logistic, regularization, model diagnostics, crossvalidation).
• Proven experience converting Excel models into Python (e.g., complex formulas, lookups, macros/VBA logic translated to Pythonic pipelines).
• SQL proficiency for data extraction and joins; solid EDA and data quality practices.
• Clear, structured communication; stakeholder management and requirement grooming.
• Version control (Git), notebook hygiene, and documentation habits.