Data Scientist

Atain; Secunderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Atain is seeking an experienced Data Scientist to join a remote team in India. You will lead the end-to-end data science lifecycle, from problem definition to model deployment and insight delivery.

The role requires 7+ years of experience with traditional AI, ML and analytics, and strong Python/SQL skills. You will work with Databricks on large-scale datasets and collaborate with cross-functional teams to influence business decisions.

Qualifications

• 7+ years of hands-on Data Science, ML, analytics or related field.
• Strong Python and SQL skills for model development and deployment.
• Experience with large-scale datasets and distributed processing.

Responsibilities

• Develop and deploy advanced ML and statistical models.
• Work with forecasting, optimization, clustering, regression and recommendation models.
• Perform statistical analysis, feature engineering, and EDA.
• Collaborate with engineers and stakeholders to deliver insights.
• Develop reusable DS workflows and analytics frameworks.

Skills

7+ years data science

Python

SQL

Databricks

Forecasting

Optimization

ML models

Education

Bachelor's or Master's in CS/DS/Stats

Tools

Databricks

PySpark

Spark

Scikit-learn

XGBoost

TensorFlow

PyTorch

Azure/AWS/GCP

MLOps

Job description

Data Scientist

Location: Remote - India

Experience: 7+ Years

Employment Type: Full-Time

Role Overview

We are looking for an experienced Data Scientist with 7+ years of hands-on experience in traditional AI, machine learning, advanced analytics, and statistical modeling. The ideal candidate should have strong expertise in developing and deploying analytical models using Python and SQL, with experience working on large-scale datasets in Databricks.

The candidate will be responsible for solving complex business problems through data-driven approaches, building predictive models, and delivering actionable insights.

Key Responsibilities

• Develop and implement advanced machine learning and statistical models for business problems.
• Build solutions using forecasting, optimization, clustering, regression, and recommendation models.
• Perform statistical analysis, hypothesis testing, feature engineering, and exploratory data analysis.
• Work with large and complex datasets using Databricks, SQL, and Python.
• Develop predictive and prescriptive analytics solutions to support business decision-making.
• Identify patterns, trends, and relationships within large datasets and translate findings into actionable insights.
• Evaluate model performance and continuously improve model accuracy, scalability, and reliability.
• Collaborate with business stakeholders, data engineers, software engineers, and other data scientists.
• Develop reusable data science workflows and analytical frameworks.
• Communicate complex analytical findings clearly to both technical and non-technical stakeholders.

Required Skills & Experience

• 7+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field.
• Strong proficiency in Python and SQL.
• Hands-on experience with:
• Forecasting / Time-Series Modeling
• Optimization Techniques
• Clustering
• Regression
• Recommendation Systems
• Statistical Analysis
• Predictive Modeling
• Strong experience working with large-scale datasets.
• Hands-on experience with Databricks and distributed data processing.
• Strong understanding of machine learning algorithms, statistical concepts, and model evaluation techniques.
• Experience with data preprocessing, feature engineering, model validation, and performance optimization.
• Strong analytical and problem-solving skills.
• Ability to independently own data science problems from problem definition through model development and insights delivery.

Good to Have

• Experience with Apache Spark / PySpark.
• Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Experience with cloud-based data platforms such as Azure, AWS, or GCP.
• Experience deploying machine learning models into production environments.
• Knowledge of MLOps and model monitoring.
• Experience in working with business-critical analytics and optimization problems.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

Key Competencies

Python | SQL | Databricks | Machine Learning | Traditional AI | Forecasting | Optimization | Regression | Clustering | Recommendation Systems | Statistical Analysis | Predictive Analytics | PySpark | Advanced Analytics