Lead Data Scientist

Location: Gurugram,Haryana,India

About us 

We turn customer challenges into growth opportunities.  

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.  

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. 

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe

Lead Data Scientist :

We are looking for a Lead Data Scientist to lead a technical team and help us gain useful insight out of raw data. Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you.

Responsibilities:

• Experience of 6-10 years should be fine  and predominantly have experience on AI/ML, NLP, Python, AWS/Cloud, Computer Vision, Machine Vision, Docker
• Ability to understand a business problem and the available data and identify what techniques can be applied to answer the business questions
• Given a business problem, estimate solution feasibility and potential approaches based on available data
• Quickly prototype solutions and build models to test feasibility of solution approach
• Build statistical models, train and test them to and drive towards the optimal level of model performance
• Develop robust, scalable and production grade data pipelines and machine learning models to answer key business problems against big, small or huge volumes of diverse range of data sets.
• Build scalable AI / ML: solutions as appropriate - may depend on the requirements and will span NLP, Computer / Machine Vision, Clustering, Segmentation, Deep Learning etc.
• Writing reusable piece of code following best software engineering practices accommodating common design patterns and OOPS
• Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
• Work in highly collaborative teams that strive to build quality systems and provide business value
• Work closely with clients, both in the Business Domain and with Technical staff members

Must Have Skills:

• 6+ years of relevant experience in a delivery focused team
• Strong coding ability in Python, and general software development skills (source code management, debugging, testing, deployment, etc.) is a must
• Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques
• Experience across Structured, Semi-Structured and Unstructured data along with the appropriate modeling techniques based on the business requirements
• Knowledge of both traditional as well awareness with existing state of the art methods in Machine Learning, NLP, Document Classification, Transfer Learning, Information Extraction and Retrieval with a proven track record of applying them to real problems.
• Experience in Computer Vision techniques - processing and handling of images and videos, as well as detection / classification techniques
• Experience in cloud computing like AWS is a plus
• Experience in microservice based architectures with model containerization using Docker is a must (Kubernetes experience will be an added advantage)
• Ability to communicate the requirements and deliverables effectively to both technical teams as well as non-technical domain specialists
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment
• Strong verbal and written communication skills to establish proper communications within the team and clients.

Why work for Material? 

In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Here’s a bit about who we are and highlights around what we offer. 

Who We Are & What We Care About 

• Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare. 
• Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.  
• We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work. 
• A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives.