Data Scientist

Soul Ai; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Soul Ai in Mumbai seeks a data scientist to build intelligent, data-driven solutions for clients and enable impactful decisions. You will contribute across the data science lifecycle from data wrangling and exploratory analysis to building and deploying machine learning models.

The ideal candidate is curious, analytical, and eager to make a difference with data. Join a fast-moving, AI-first team focused on high-quality data and scalable operations in a global context.

Qualifications

• Proficient in Python with data libraries and ML workflows.
• Strong SQL skills and ability to query large datasets.
• Solid foundation in statistics, ML algorithms, and data modeling.
• Experience building scalable end-to-end ML pipelines and deployment.

Responsibilities

• Design, develop, and deploy ML models and analytics solutions.
• Perform exploratory data analysis and feature engineering.
• Own or contribute to end-to-end DS pipeline: data cleaning, modeling, validation, deployment.
• Collaborate with cross-functional teams to define problems and drive impact.
• Translate business challenges into data science problems and communicate findings clearly.
• Implement A/B tests and statistical experiments.
• Support model monitoring, versioning, and production improvements.
• Evaluate new tools and best practices to improve accuracy and scalability.

Skills

Python

SQL

Statistics

End-to-end ML pipelines

Model deployment tools

Data visualization

Version control

Clean code

Education

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

Tools

FastAPI

Flask

MLflow

Git

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