Job Description

Key Responsibilities

Collect, clean, and preprocess structured and unstructured datasets. Design and implement

machine learning and statistical models

(classification, regression, clustering, recommendation, forecasting, etc.). Perform

exploratory data analysis (EDA)

and communicate findings clearly to stakeholders. Work closely with

data engineers and product teams

to build reliable data pipelines and deploy models. Create intuitive

dashboards, reports, and visualizations

for business and technical stakeholders. Stay updated with latest data science tools, frameworks, and industry best practices.

Required Skills & Qualifications

Bachelor's/Master's in Computer Science, Statistics, Mathematics, Data Science, or related field.

3+ years of exp

Technical Skills:

Strong in

Python

(pandas, NumPy, scikit-learn, matplotlib/seaborn). Good knowledge of

SQL

for data extraction and transformation. Experience with at least one ML framework (TensorFlow, PyTorch, or scikit-learn). Hands-on with

data wrangling, feature engineering, and model evaluation

.

Nice to Have:

Knowledge of

data visualization tools

(Tableau, Power BI, or Plotly/Dash). Exposure to

cloud platforms

(AWS, GCP, Azure). Basic familiarity with

big data frameworks

(Spark, Hadoop) or

MLOps

concepts.

Soft Skills

Strong problem-solving and analytical thinking. Ability to explain technical results in simple terms. Good communication and stakeholder management skills. Curious, adaptable, and eager to learn new technologies.

Why Join Us?

Opportunity to work on diverse and challenging data problems. Learn and grow in a collaborative environment with exposure to end-to-end data science workflows. Career growth path into senior data science, ML engineering, or analytics leadership roles.
Job Type: Full-time

Pay: ₹35,000.00 - ₹50,000.00 per month

Benefits:

Paid sick time Paid time off Provident Fund Work from home
Work Location: In person