Data Scientist

Soul Ai; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Soul AI is seeking a Data Scientist to design, develop, and deploy intelligent data-driven solutions. You will work across the data science lifecycle from data wrangling and exploration to building and deploying machine learning models.

The role involves collaborating with engineering, product, and business teams to translate challenges into measurable impact. Ideal candidates have strong Python skills, SQL proficiency, solid statistics knowledge, and experience with end-to-end ML pipelines.

Qualifications

• Strong programming in Python with pandas/NumPy/scikit-learn; data wrangling and modeling.
• Proficient SQL skills and ability to query large datasets.
• Solid understanding of statistics and ML algorithms; end-to-end ML pipelines experience.

Responsibilities

• Design, develop, deploy ML models and analytical solutions.
• Conduct exploratory data analysis and feature engineering.
• Own end-to-end data science pipeline: cleaning, modeling, validation, deployment.

Skills

Python

SQL

Statistics

End-to-end ML pipelines

Model deployment tools

Data visualization

Git/version control

Code quality

Education

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

Tools

FastAPI

Flask

MLflow

Apache Spark

Kafka

Airflow

dbt

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