Data Scientist

Saama Technologies; Pune District, Chennai; Hybrid; INR 1,400,000 - 2,400,000; Full time

Job summary

Saama Technologies in Pune, India seeks a senior Data Scientist to design and deploy predictive models, perform data wrangling, and conduct thorough EDA.

The role emphasizes collaboration with product and engineering teams, ensuring metrics are aligned with business goals and models are monitored for drift.

Qualifications

• 24 years of industry experience in a Data Scientist or Quantitative Analyst role.
• Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field.
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
• Advanced proficiency in SQL for extracting, manipulating, and aggregating large-scale datasets.
• Solid understanding of supervised and unsupervised ML algorithms, statistical modeling, hypothesis testing, and evaluation metrics.
• Hands-on experience with Git and standard developer workflows.

Responsibilities

• Model Development & Deployment: design, build, train, and evaluate predictive models to solve core business problems.
• Data Wrangling & Pipeline Integration: clean, transform, and feature-engineer data from disparate sources using SQL and Python/R.
• Exploratory Data Analysis (EDA): analyze large datasets to identify trends, patterns, anomalies, and optimization opportunities.
• Collaboration & Business Alignment: partner with product, engineering, and stakeholders to define metrics and communicate findings.
• Model Monitoring & Maintenance: monitor model performance, run AB tests, and retrain models to minimize drift.

Skills

Python

R

SQL

ML fundamentals

Git

Education

Bachelor's or Master's in CS/Statistics/Data Science

Tools

Git

Pandas

NumPy

Scikit-learn

Job description

Key Responsibilities

• Model Development & Deployment: Design, build, train, and evaluate predictive machine learning models (classification, regression, clustering) to solve core business problems.


• Data Wrangling & Pipeline Integration: Clean, transform, and feature-engineer structured and unstructured data from disparate sources using SQL and Python/R.


• Exploratory Data Analysis (EDA): Analyze large datasets to identify trends, patterns, anomalies, and opportunities for optimization.


• Collaboration & Business Alignment: Partner closely with product, engineering, and business stakeholders to understand requirements, define metrics, and communicate statistical findings in non-technical terms.


• Model Monitoring & Maintenance: Monitor model performance in production, conduct AB testing, and continuously retrain models to minimize drift.

Required Qualifications & Skills

• Experience: 24 years of industry experience in a Data Scientist or Quantitative Analyst role.


• Education: Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field.


• Programming: Strong proficiency in Python (Pandas, NumPy, Scikit-learn) or R.


• Database & SQL: Advanced proficiency in SQL for extracting, manipulating, and aggregating large-scale datasets.


• Machine Learning Fundamentals: Solid understanding of supervised and unsupervised machine learning algorithms, statistical modeling, hypothesis testing, and evaluation metrics.


• Version Control: Hands-on experience with Git and standard developer workflows.