PureSoftware - Senior Manager - Data Science

PureSoftware Ltd; Maharashtra; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

PureSoftware Ltd in Maharashtra, India, is seeking a Data Science Manager to lead a skilled team in developing innovative AI and ML solutions. The successful candidate will design and implement machine learning models while collaborating across various teams to drive data-driven opportunities.

Qualifications include strong expertise in machine learning, proficiency in Python, R, SQL, and experience with cloud platforms like AWS and Azure. Leadership skills and stakeholder management are essential for success in this role.

Qualifications

• Strong expertise in Machine Learning, Statistical Modeling, and Predictive Analytics.
• Proficiency in Python, R, SQL, and data science libraries/frameworks.
• Experience with Deep Learning frameworks such as TensorFlow or PyTorch.
• Knowledge of NLP, Computer Vision, Time Series Forecasting, or Recommendation Systems.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience in big data technologies like Spark, Hadoop, or Databricks.
• Strong understanding of MLOps, CI/CD pipelines, and model deployment strategies.
• Excellent stakeholder management, leadership, and communication skills.
• Strong business acumen and problem-solving abilities.

Responsibilities

• Lead and mentor a team of Data Scientists, ML Engineers, and Analysts.
• Design and implement machine learning models and predictive analytics solutions.
• Define data science strategy aligned with business objectives.
• Collaborate with teams to identify data-driven opportunities.
• Oversee model development lifecycle including training, validation, and monitoring.
• Drive experimentation and optimization initiatives.
• Ensure scalability and performance of ML models in production.
• Present analytical insights to senior stakeholders.
• Establish best practices for data governance and MLOps.
• Stay updated with advancements in AI and data technologies.

Skills

Machine Learning

Statistical Modeling

Predictive Analytics

Python

R

SQL

Deep Learning

NLP

Computer Vision

Time Series Forecasting

Cloud Platforms

MLOps

Leadership

Communication Skills

Problem Solving

Education

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics

PhD

Tools

Python

R

SQL

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

Databricks

AWS

Azure

GCP

Tableau

Power BI

Docker

Kubernetes

Git

MLflow

Airflow

Job description

Job Summary

We are seeking an experienced and strategic Data Science Manager to lead a team of data scientists and machine learning engineers in developing scalable AI/ML solutions.

Key Responsibilities

• Lead and mentor a team of Data Scientists, ML Engineers, and Analysts.
• Design and implement machine learning models, predictive analytics solutions, and AI-driven products.
• Define data science strategy aligned with business objectives.
• Collaborate with Product, Engineering, Business, and Leadership teams to identify data-driven opportunities.
• Oversee model development lifecycle including data collection, feature engineering, training, validation, deployment, and monitoring.
• Drive experimentation, A/B testing, forecasting, recommendation systems, and optimization initiatives.
• Ensure scalability, reliability, and performance of ML models in production environments.
• Present analytical insights and recommendations to senior stakeholders and executive leadership.
• Establish best practices for data governance, model validation, and MLOps processes.
• Stay updated with the latest advancements in AI, Generative AI, Deep Learning, and data technologies.

Required Skills

• Strong expertise in Machine Learning, Statistical Modeling, and Predictive Analytics.
• Proficiency in Python, R, SQL, and data science libraries/frameworks.
• Experience with Deep Learning frameworks such as TensorFlow or PyTorch.
• Knowledge of NLP, Computer Vision, Time Series Forecasting, or Recommendation Systems.
• Hands‑on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience in big data technologies like Spark, Hadoop, or Databricks.
• Strong understanding of MLOps, CI/CD pipelines, and model deployment strategies.
• Excellent stakeholder management, leadership, and communication skills.
• Strong business acumen and problem‑solving abilities.

Preferred Qualifications

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• PhD is a plus.
• Experience leading enterprise-level AI/ML initiatives.
• Exposure to Generative AI, LLMs, and AI governance frameworks preferred.

Tools & Technologies

• Python, R, SQL
• TensorFlow, PyTorch, Scikit‑learn
• Spark, Hadoop, Databricks
• AWS, Azure, GCP
• Tableau, Power BI
• Docker, Kubernetes
• Git, MLflow, Airflow

(ref: hirist.tech)