Data Scientist

Soul Ai; Dadri; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Soul Ai is seeking a Data Scientist to build intelligent, data-driven solutions and enable impactful decisions for clients. The role spans data wrangling, exploration, model building, and deployment across production environments.

You will work with engineering, product, and business teams to translate challenges into data science problems, design experiments, and communicate actionable insights.

Qualifications

• Bachelor's or Master's in CS/DS/Math/Engineering or related field.
• Experience with ML pipelines and deployment preferred.
• Strong communication and problem-solving skills.

Responsibilities

• Design, develop, and deploy ML models and analytical solutions
• Perform exploratory data analysis and feature engineering
• Own end-to-end DS pipeline: data cleaning, modeling, deployment
• Collaborate with cross-functional teams to define problems and deliver impact
• Translate business challenges into data science problems and communicate findings
• Implement A/B tests and experimentation strategies
• Monitor models in production and iterate improvements
• Evaluate new tools and improve model accuracy and scalability

Skills

Python

SQL

Statistics

Machine Learning

ML pipelines

Model deployment

Data visualization

Git

Pandas/Numpy

Rapid prototyping

Education

Bachelor's or Master's in CS/DS/Math/Engineering

Tools

FastAPI/Flask

MLflow

Apache Spark

Kafka

Airflow

dbt

SageMaker

Job description

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:

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