About the role

Aplyr's Quick Take

This role is about leading a data science team at Nissan, focusing on developing machine learning models and analytics solutions. You'll manage projects, mentor team members, and collaborate with various departments to ensure data strategies align with business goals. It's a managerial position requiring both technical expertise and leadership skills.

Good fit

Ideal candidates have several years of experience in data science and team management, with a strong technical background in machine learning and data analytics. A collaborative and adaptable working style will help you thrive in this role.

Worth noting

The role emphasizes staying updated on emerging trends in AI and data science, which could appeal to those passionate about continuous learning. However, the job spec is vague on specific day-to-day tasks and expectations.

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

Skills & Tags

data

Aplyr's read

Nissan Global is a forward-thinking automotive leader, attracting talent committed to innovation and sustainability in a dynamic, international work environment.
Synthesized from recent postings & public sources

What's promising

•Nissan's commitment to sustainability aligns with growing global environmental concerns.
•The company offers diverse roles across various international locations, indicating robust global operations.
•Nissan's focus on innovative technologies provides opportunities for employees to work on cutting-edge projects.

What to watch

•The automotive industry faces challenges with fluctuating demand and supply chain disruptions.
•Nissan has experienced financial instability in recent years, impacting job security.
•Limited public information about career advancement opportunities within the company.

Why Nissan Global

•Nissan's global presence allows for cross-cultural experiences and international career paths.
•The company is a pioneer in electric vehicle technology, leading industry innovation.
•Nissan's Yokohama headquarters symbolizes its deep-rooted Japanese heritage and global influence.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Nissan Global

Nissan Global

nissan-global.com

View company

Nissan Motor Co., Ltd. is a global automobile manufacturer headquartered in Yokohama, Japan, known for its innovative technologies and commitment to sustainability.