Data Scientist

We specialize in delivering high-quality human-curated data and AI-first scaled operations services

Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact

Role Overview:

We are looking for a Data Scientist to join and build intelligent, data-driven solutions for our client that enable impactful decisions

This role requires contributions across the data science lifecycle from data wrangling and exploratory analysis to building and deploying machine learning models

Whether youre just getting started or have years of experience, were looking for individuals who are curious, analytical, and driven to make a difference with data

Responsibilities:

Design, develop, and deploy machine learning models and analytical solutions

Conduct exploratory data analysis and feature engineering

Own or contribute to the end-to-end data science pipeline: data cleaning, modeling, validation, and deployment

Collaborate with cross-functional teams (engineering, product, business) to define problems and deliver measurable impact

Translate business challenges into data science problems and communicate findings clearly

Implement A/B tests, statistical tests, and experimentation strategies

Support model monitoring, versioning, and continuous improvement in production environments

Evaluate new tools, frameworks, and best practices to improve model accuracy and scalability

Required Skills:

Strong programming skills in Python including libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn

Proficient in SQL, comfortable querying large, complex datasets

Sound understanding of statistics, machine learning algorithms, and data modeling

Experience building end-to-end ML pipelines

Exposure to or hands-on experience with model deployment tools like FastAPI, Flask, MLflow

Experience with data visualization and insight communication

Familiarity with version control tools (eg, Git) and collaborative workflows

Ability to write clean, modular code and document processes clearly

Nice to Have:

Experience with deep learning frameworks like TensorFlow or PyTorch

Familiarity with data engineering tools like Apache Spark, Kafka, Airflow, dbt

Exposure to MLOps practices and managing models in production environments

Working knowledge of cloud platforms like AWS, GCP, or Azure (e, SageMaker, BigQuery, Vertex AI)

Experience designing and interpreting A/B tests or causal inference models

Prior experience in high-growth startups or cross-functional leadership roles

Educational Qualifications:

Bachelors or Masters degree in Computer Science, Data Science, Mathematics, Engineering, or a related field

Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India