Senior Data Scientist, Machine Learning & AI

Company Description DigiTech Labs, based in Washington State, USA, helps organizations modernize through specialized data and technology transformations across healthcare, retail, finance, insurance, and high-tech manufacturing. The company designs scalable, analytics-driven solutions that address value-based healthcare, e-commerce and supply chain optimization, fraud prevention, and compliance challenges. By combining deep domain expertise with AI/ML analytics, DigiTech Labs enhances operational efficiency, profitability, and innovation for B2B and B2C clients. Operating with a lab mindset, the team focuses on experimentation, closing market gaps, and delivering integrated, accountable technology solutions that align with evolving U.S. healthcare and regulatory priorities.

Role Description The Senior Data Scientist, Machine Learning & AI is a full-time, on-site role based in Chennai for one of our client Samsung

POSITION SUMMARY

If you have ambitions to be a part of building a Best-in-Class organization, the Samsung eCommerce is the place to be. We never stop innovating. Samsung eCommerce platform is strategically built from the ground up to provide great customer experience and also help Samsung grow the overall business. We continue to grow our eCommerce portfolio by providing the most innovative offerings in the market, and our dedication to Market Disruption makes this the destination company for the world's top talent. The dynamic culture at Samsung offers both great challenge and great reward. If you have a strong desire to break down barriers, be creative, and drive transformational value in the market place this is the place to be.

You will be responsible for developing brand new solutions, especially in creating solution architectures and proof-of-concepts. Besides providing the critical link between the most technical areas of the organization and our business partners, Data Scientists have a keen sense of how to research cutting edge data science methods and apply those same methods to Samsung's own, novel solutions. Balancing excellent business communication skills with a deep analytical understanding is needed to 1) successfully build never-been-done-before analytic solutions in a Big Data environment and 2) interface daily with business partners, engineering, and product management teams.

About You as a Candidate:

•                You have BE, ME or PhD in Mathematics, Computer Science, Engineering, Economics or Applied Computer Science (required).

•                You have 5+ years experience developing analytic results that directly inform and/or enable quantifiable business action, either by providing insights or building analytic applications

•                You are an expert in building and deploying recommendation/Personalization systems at scale to enhance customer journey experiences on websites and apps.

•                You have minimum 5+ years of experience in Big Data environment specifically Hive/Spark and Clound enviroments such as AWS/GCP where you have deployed reliable models that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data.

•                You have worked with massive structured/unstructured data sets before and have a strong grip on machine learning techniques especially able to debug an algorithm with ease.

•                Given a data problem you know the right data science technique to be applied (such as GLM Regression (linear, logit, multinomial), kMeans/Hierarchical Clustering, Principle Component Analysis, Decision Tree (RF, GBM, XGboost, Neural Networks, Bayesian Statistics, Times Series, & A Priori, etc.) & Deep Learning.

•                You are familiar with NLP and LLMs (Hugging Face, OpenAI, Gemini, Langchain, etc.

•                You are a solid coder who uses either SQL & (Python/Spark/R) to deploy machine learning products into production.  

•                You remain at the forefront of AI technology by actively monitoring industry trends, researching advancements, and emerging technologies to evaluate their potential applicability to the Ecomm ML & AI strategy.

•                You are highly enthusiastic in uncovering actionable insights from data and conveying these insights to business as stories that stick.

•                You are a strong analytical person who loves solving business problems using massive data sets.

•                You are detail oriented but never loses sight of deadlines. 

•                You always have an eye on the products you deployed and never assumes that everything is ok.

•                You are comfortable following the procedures and coding standards set by the organization

RESPONSIBILITIES

Core Data Science

•                Gather, process, and clean large datasets from various sources, ensuring data integrity and quality for accurate analysis.

•                Perform statistical analysis and interpret complex data to identify trends, patterns, and insights that inform business decisions.

•                Develop, test, and deploy predictive models and machine learning algorithms to solve business problems and enhance decision-making processes.

•                Create clear and effective data visualizations to communicate findings to stakeholders, facilitating data-driven decision-making.

•                Work closely with cross-functional teams, including engineers, product managers, and business analysts, to understand business needs and translate them into data solutions, as well as present results and recommendations to non-technical stakeholders.

Organizational

•                Develop and maintain excellent working relationships with all assigned levels within and outside the company

•                Ability to convince others, in a potentially adversarial and highly technical environment, including customer leadership, VPs, directors & managers, staff, and vendors with opposing views to accept/approve plans, technical, and project recommendations

•                Ability to negotiate on behalf of function to come to agreement by managing communications through discussions and compromise

Cross Functional

•                Plan, organize, and prioritize multiple complex assignments and projects

•                Read and interpret detailed and complex engineering product development and marketing documents, media materials, and contracts (or related documents) based on corporate legal and marketing standards and philosophy

Leadership

•                Work independently and in a team environment in order to achieve personal and team goals and complete assignments within established time frames

•                Ability to develop tasks and work assignments, clearly define objectives, and give direction with applied knowledge of alternatives and decision-making experience to guide subordinates

Experience Requirements

·       Strong knowledge of statistical methods and particularly in the areas of predictive modeling/scoring.

·       3+ years experience in sales or marketing functions for consumer products, retail, tech, telecom, or financial industries

·       4+ years Statistical programming expertise: R required; Python & Spark preferred

·       3+ years Big data mining expertise: Hive & Impala required; SQL preferred

·       Experience with NLP and LLMs (Hugging Face, OpenAI, Gemini, Langchain, etc.)

·       Experience working in Cloud platforms (GCP, AWS, Azure or Databricks) is required. Google Cloud Platform preferred.

·       Machine learning expertise: Recommendor systems, deep learning, GLM Regression (linear, logit, multinomial), kMeans/Hierarchical Clustering, Principle Component Analysis, & Decision Tree required;

·       Data scale expertise: Regular use of data with high-volume (1TB+) & high-dimensionality (500+ variables per schema) required; clear understanding of Hadoop framework with hands-on experience both querying and applying statistics on massive data sets