Senior Data Scientist

About the job About Us The best way to predict the future is to invent it. And the best way to invent the future is to get the best minds to work on an idea whose time has come. Evam Labs (www.evamlabs.ai) is a Singapore headquartered holding company with offices in Bangalore and San Jose, building the next generation of high impact AI powered Enterprise Solutions. From Asia, for the World. The first two companies being built by Evam Labs are: - Propheus is on a mission to build the most comprehensive knowledge representation of every place on the Planet. The company’s solutions are powering various use cases across industries such as Retail, CPG, Real Estate and Government. - Poiro is building the next generation of AI Agents for Marketers to bring Brands closer to their customers. Our thesis is simple: How Enterprises leverage data to get insights and make decisions will get massively disrupted with AI creating a $1T+ opportunity. Evam Labs is at the forefront of this disruption. Evam Labs was founded by ex-founders, academics and investors with over a decade of experience in building data & AI products and scaling companies from 0 to IPO. The founders are IIT/IIM/CMU alumni and have cumulatively raised over $500M+, invested in 30+ startups and hold 20+ patents. The rest of the Evam team comprises alumni of IITs, IIMs, CMU, IISc, NUS with rich experience across multiple industries. Role Overview - Data Scientist The Data Science team at Propheus is seeking Data Scientists to join us and make critical contributions to our research and development efforts. You will work closely with our team to build and deploy cutting-edge AI/ML models and systems that form the backbone of our product and solutions. These are full-time onsite roles at our office located in Bengaluru. Responsibilities - Understand business and research goals in the retail and Consumer Packaged Goods (CPG) space and contribute to building data science applications such as demand forecasting, inventory optimization, product recommendations, and promotion planning. - Build and maintain data pipelines and workflows for data ingestion, cleaning, feature engineering, model training, evaluation, and deployment. - Work with large, messy retail and CPG datasets (sales, customers, products, promotions, etc.) to extract useful insights and identify patterns that improve model performance and business outcomes. - Research and test different models, algorithms, and architectures to quickly prototype and validate new ideas. - Evaluate and implement open-source tools and technologies that support data processing, modeling, and deployment, and suggest improvements where needed. - Document research findings, model experiments, data workflows, and implementation details clearly and consistently. - Lead and guide a small team (1–3) of junior data science associates, reviewing their work, providing technical direction, and ensuring project quality and timely delivery. What we look for in Candidates Educational Background and Professional Experience - Bachelor’s degree in Computer Science, Electrical Engineering, or an equivalent discipline such as Data Science or Artificial Intelligence/Machine Learning. - 4–6 years of professional experience in data science. Candidates with the required technical skills but experience in adjacent areas such as software engineering or data engineering will also be considered. Technical Competencies - Strong understanding of the Python programming language and core scientific computing libraries such as NumPy, SciPy, and Matplotlib. - Proficiency in data processing and manipulation using Pandas. - Strong mathematical foundations in probability, statistics, and linear algebra. - Solid grasp of classical machine learning algorithms, both in theory and practice, with the ability to implement and tune models using Scikit-learn, XGBoost, LightGBM, CatBoost, or similar Python packages. - Practical experience using large language models (LLMs) for data cleaning, enrichment, and embedding generation to support downstream models and analytics workflows. - Experience working in modern cloud computing environments such as AWS or Microsoft Azure for data storage, processing, and deployment. - End-to-end ownership of the problem you are working on. Nice to Haves - Familiarity with big data processing technologies, especially Apache Spark; experience with PySpark is highly desirable. - Experience working with geospatial data is highly desirable. Specifically, experience with Apache Sedona would be a plus. - Exposure to deep learning frameworks such as PyTorch or TensorFlow. - Basic understanding of linear programming for supply chain and optimization problems; experience using PuLP in Python and solvers such as Gurobi or CPLEX is a plus. - Experience using FastAPI (or similar frameworks) to develop and deploy backend services that support data science applications. - Prior experience mentoring or guiding junior team members. - Experience solving data science problems in the Retail or Consumer Packaged Goods (CPG) sectors. - A Master’s degree in a relevant field such as Operations Research, Computer Science, Electrical Engineering, Statistics, or Data Science will be considered a strong plus. - Relevant research experience and publications in leading venues such as NeurIPS, ICML, KDD (Knowledge Discovery and Data Mining), or other retail and applied data science conferences will be viewed favorably. Why Join Us? Why Join Us? - Opportunity to work on data science problems at billion-dollar Retail and CPG companies leveraging massive first-party datasets. - Be in an early stage company - grow with the company and shape our trajectory, in turn creating inorganic growth opportunities for yourself. - Be in the right field at the right time - opportunity to grow and advance your career in the burgeoning field of AI. - Be part of a fast-paced, ambitious research organization that is pushing the boundaries of AI across industries. - Competitive salary and benefits. To apply, please reach out to Prathamesh on prathamesh@propheus.com with the subject line: “Propheus: Experienced Data Scientist Application”