Data Science Manager
Nissan Motor Corporation
- Location
- Trivandrum, Kerala, India
- Job type
- Full-time
Required skills
- Python
- Power BI
- advanced analytics
- AWS
- Artificial Intelligence
- Azure
- big data technologies
- business objectives
- communication skills
- cross-functional
- Dash
- data science
- data visualization
- deep learning
- Docker
- GCP
- machine learning
- Matplotlib
- people management
- predictive analytics
- Spark
- SQL
- TensorFlow
- Pytorch
About the role
Nissan Motor Corporation
Website:
nissan-global.com
Job details:
Responsibilities:
- Lead and manage data science teams, overseeing the development and deployment of machine learning models and advanced analytics solutions.
- Define and execute data strategies aligned with business objectives, ensuring actionable insights drive decision-making.
- Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to identify and solve complex data-related challenges.
- Ensure data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability.
- Mentor and develop data scientists, providing technical guidance, performance feedback, and career development support.
- Stay updated on emerging trends, technologies, and best practices in data science and artificial intelligence (AI).
- Communicate findings effectively to both technical and non-technical stakeholders, translating insights into business impact.
Key Competencies:
- Strong problem-solving and analytical thinking skills to interpret complex data and drive insights.
- Leadership and people management abilities to guide and grow a high-performing data science team.
- Business acumen to align data science initiatives with organizational goals and drive measurable value.
- Effective communication skills for conveying technical concepts to diverse audiences.
- Decision-making capabilities based on data-driven approaches.
Technical Skills:
- Proficiency in programming languages such as Python, R, or SQL.
- Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Experience with big data technologies (Spark) and cloud platforms (AWS/ Azure/ GCP).
- Strong understanding of statistical modeling, predictive analytics, and deep learning.
- Experience with data visualization tools (Quicksight, Power BI, Matplotlib, Seaborn, Streamlit/Dash).
- GenAI: Experience with GenAI APIs, LLMs, Vectorization, Agentic AI and prompt engineering for domain-specific solutions
- MLOps: Ability to build reusable model pipelines and manage deployments using MLflow and Docker
Behavioural Competencies:
- Adaptability: Ability to pivot strategies based on evolving business needs and technological advancements.
- Learning Agility: Continuous learning mindset to keep up with emerging data science trends and methodologies.
- Teamwork: Collaborative approach to working with cross-functional teams, fostering knowledge sharing and innovation.
Certifications (Optional):
- Certified Data Scientist (CDS) - DASCA
- AWS Certified Machine Learning - Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Coursera/edX Data Science Specializations (e.g., IBM, Stanford, Harvard)
- Data Engineering Certifications
Trivandrum Kerala India
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