Senior Technical Manager - Data Science

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). (ref:hirist.tech)

Location: navi-mumbai, IN

Posted Date: 5/1/2025