Lead Exterior Designer

Responsibilities & Key Deliverables

Job Roles and Responsibilities
Work with an outstanding engineering team and the support of an established data infrastructure
· You will be creating experiments based on exploratory analysis with our data in order to extract knowledge.
· You will analyse data in order to confirm or disprove hypotheses by the product owners.
· You will be building statistical, machine learning and deep learning models for prediction and segmentation and be responsible for designing and visualizing metrics, constantly looking beyond the numbers.
· You will be monitoring key product metrics and analysing the reasons they change.
· Subsequently you will be proposing features and improvements for the business based on the insights you extract from data.
· You will be presenting results of your work on both detailed technical and business level and assist other data scientists on designing the right data models

Other Requirements :
· You have already deployed one or more models to production and you know how to maintain model-based processes.
· You have a strong background in statistics, machine learning and deep learning
· (or related fields as e.g. information retrieval, natural language processing, computer vision, analytics, reinforcement learning, etc.) and a good knowledge of Python or R.
· You have experience working with large amounts of real data using SQL or NoSQL.
· You are the one who loves to learn new technologies, you quickly adapt to the domain and understand the data beneath. With the passion for numbers and figures you are able to solve your problems using data.
· With your good communication skills you are able to communicate and visualise your finding

Experience

As a developer and a passionate data geek, you have at least 3 years of practical experience in data science.

Industry Preferred

Qualifications

BSC. Computer

General Requirements

Our commitment to Diversity, Equity, and Inclusion

At Mahindra and Mahindra Limited, we believe that diversity drives innovation, and inclusion is at the heart of everything we do. We are committed to cultivating a workplace where every individual feels valued, respected, and empowered to thrive.
We are proud to be an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to age, caste, race, religion, color, ethnic origin, gender identity, nationality, physical or mental disability, medical condition, sexual orientation, educational background, marital or domestic partnership status, pregnancy or childbirth, veteran status, citizenship status, ancestry, financial status, or any other personal characteristic protected by applicable law.
We actively encourage candidates from all backgrounds to apply and bring their unique perspectives to our teams. We are committed to ensuring an accessible and inclusive experience for all applicants.
Together, we rise by embracing differences and building a future that reflects the communities we serve.