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

Job Summary:

We are seeking a dynamic Lead Data Scientist to lead our data science and engineering initiatives within the Retail domain. This pivotal role requires an experienced professional capable of navigating the intricacies of the end-to-end data science and engineering lifecycle, having a strong problem-solving ability and a knack for statistical analysis along with a strong emphasis on Machine Learning Operations (MLOps) practices. If you’re also able to align our data products with our business goals, we’d like to meet you.

Position Overview:

As the Lead Data Scientist, you will be responsible for leading a team of data scientists and collaborating with cross-functional teams to drive the end-to-end data science and engineering lifecycle, emphasizing MLOps principles. Your primary focus will be on researching, developing, and implementing AI solutions with a strong emphasis on data retrieval and pipeline creation for both structured and unstructured data. You will work on building and optimizing a bot using Large Language Models (LLMs) that leverage Retrieval-Augmented Generation (RAG) to access data from various sources. You will be responsible for developing robust data pipelines, ensuring seamless data flow from Databricks and other sources to support our conversational chatbot. Additionally, you will play a key role in shaping the data science strategy, managing model deployment, and collaborating with Operations teams to ensure efficient orchestration. Familiarity with Git for version control is essential as part of the development process. 

Responsibilities:-

• Demonstrated expertise with 6-10 years of hands-on experience in AI/ML, NLP, GenAI, Python, and cloud platforms such as AWS/Azure/GCP. Databricks, SQL could be an added advantage
• Proven proficiency in advanced technologies including LLM, Data handling, Dynatrace and Docker.
• Lead the ideation, research, and development of sophisticated machine learning models for media content analysis, employing cutting-edge techniques such as natural language processing, computer vision, speech recognition, and deep learning.
• Incorporate MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
• Exhibit agility by rapidly prototyping solutions and building models to assess the feasibility of various solution approaches.
• Develop robust, scalable, and production-grade data pipelines and machine learning models to address key business problems, regardless of the volume or diversity of data sets.
• Construct scalable AI/ML solutions, tailored to specific requirements, spanning LLMs, NLP, Computer/Machine Vision, Clustering, Segmentation, and Deep Learning.
• Optimize models for performance, taking into consideration real-world constraints and requirements.
• Write reusable code following best software engineering practices, accommodating common design patterns and Object-Oriented Programming (OOPs) principles.
• Establish and enforce coding standards, documentation practices, and model version control within the team.
• Spearhead discussions with Operations teams, ensuring the smooth deployment, optimization, and orchestration of machine learning models.
• Work closely with cross-functional teams, including engineering, product management, and content creation, to gather requirements and deliver impactful, technically sound solutions.

Must Have Skills:

• 6+ years of relevant data science experience in a delivery focused team
• Strong coding ability in Python(SQL experience will be an added advantage) familiarity with relevant libraries (e.g., TensorFlow, PyTorch, FastAPI), and general software development skills (source code management, debugging, testing, deployment, etc.) is a must
• Knowledge of data retrieval and pipeline development for both structured and unstructured data, with expertise in state-of-the-art methods in Machine Learning, NLP, LLMs, and Retrieval-Augmented Generation (RAG). Proven track record of applying these advanced techniques, including Data preprocessing, Transfer Learning, Computer Vision, Text Analysis, and Information Extraction, to solve real-world problems, Experience with end-to-end model deployment and orchestration in production environments.
• Experience with cloud computing, particularly Azure and Databricks, 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.

What We Offer:-

• Professional Development and Mentorship.
• Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work (Certified).
• Health and Family Insurance.
• 40+ Leaves per year along with maternity & paternity leaves.
• Wellness, meditation and Counselling sessions.