64 Data Science Manager Jobs

Greetings!!!

This is in regards to a Job opportunity for Technical Manager - Data Science with Datamatics Global Services Ltd.

About us: Datamatics is a technology company that builds intelligent solutions enabling data-driven businesses to digitally transform themselves through Robotics, Artificial Intelligence, Cloud, Mobility and Advanced Analytics. Headquartered in Mumbai, the company has a presence across America, Australia, Asia and Europe.

Position: Technical Manager - Data Science

Website: https://www.datamatics.com/

Job Location: Mumbai

Job Description:

Job Summary:

We are looking for a seasoned Senior Technical Manager with 10+ years of experience in data science, presales, and project management. The ideal candidate will have a strong technical background in data science, machine learning, and AI, coupled with exceptional leadership and communication skills. This role requires a strategic thinker who can engage in presales activities, manage complex projects, and deliver high-quality solutions to our clients.

Key Responsibilities:

• Lead and mentor a team of data scientists, engineers, and analysts to deliver innovative AI and data science solutions.
• Oversee the design, development, and implementation of advanced machine learning models.
• Ensure adherence to best practices in data science, software development, and project management.
• Collaborate with sales and business teams to understand client needs and propose tailored solutions.
• Develop and present technical proposals, PoCs, and demonstrations, acting as a subject matter expert in client meetings.
• Define project scope, objectives, and deliverables, ensuring effective planning, resource allocation, and risk management.
• Monitor project progress, manage budgets and timelines, and ensure timely, high-quality delivery.
• Build and maintain strong client relationships, serving as the primary point of contact during project execution.
• Foster a collaborative, inclusive team culture through regular meetings, performance reviews, and knowledge sharing.
• Identify training and development opportunities to enhance team skills and career growth.
• Stay updated on AI and data science advancements, driving innovation and adoption of new technologies.
• Contribute to the companys data science strategy and roadmap.

Key Technical Stack and Expertise:

• Programming Languages: Python, R, Java, SQL
• Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
• Data Science Tools: Pandas, NumPy, Matplotlib, Seaborn
• Big Data Technologies: Hadoop, Spark, Hive
• Cloud Platforms: AWS (SageMaker, Redshift), Azure (ML Studio, Databricks), GCP (BigQuery, AI Platform)
• Modeling Expertise: Regression, Classification, Clustering, Time Series Analysis, Natural Language Processing (NLP), Computer Vision
• A/B Testing and Experimentation: Design and implementation of A/B tests, multivariate testing, and statistical analysis to drive data-driven decisions
• Data Engineering: ETL pipelines, data warehousing, and data lake management
• DevOps and MLOps: CI/CD pipelines, model deployment, monitoring, and maintenance

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 10+ years of experience in data science, machine learning, or AI, with at least 5 years in a leadership or managerial role.
• Proven expertise in presales activities, including proposal development, client presentations, and technical demonstrations.
• Strong project management skills, with experience in planning, tracking, and delivering complex projects.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with data science tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent communication, presentation, and interpersonal skills.
• Strong problem-solving abilities and a strategic mindset.
• Experience working with cross-functional teams and managing client relationships.
• Demonstrated ability to manage and lead teams effectively, fostering a positive and productive work environment.

Preferred Qualifications:

• Certifications in project management (e.g., PMP, PRINCE2) or data science (e.g., AWS Certified Machine Learning, Google Professional Data Engineer).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).