JK Tech
Website:
jktech.com
Job details:
Data Scientist: Model Building, Data Analysis, and Project Delivery
Job summary
We are seeking a highly experienced and motivated Senior Data Scientist to lead complex data projects from ideation to production. The ideal candidate has a proven track record of designing, building, and deploying advanced machine learning models and delivering impactful business solutions. You will translate ambiguous business problems into data-driven strategies, conduct deep-dive analysis, and own the end-to-end project lifecycle while working with cross-functional teams.
Experience: 10+ years of experience as a Data Scientist or in a similar role, with a strong portfolio of successfully delivered data science projects.
Roles and Responsibilities
· Serve as expert in Data Science, build framework to develop Production level DS/AI models.
· Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
· Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
· Lead and manage the onsite-offshore relation, at the same time adding value to the client.
· Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
· Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
· Present results, insights, and recommendations to senior management with an emphasis on the business impact.
· Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
· Good experience with Retail, Consumer/White Goods industry, specifically in retail or Consumer Goods Demand Forecasting , Price Elasticity Model, Pricing or Assortment or Inventory or route Optimization, Promotion impact & simulation modeling, Customer or any type of Segmentation,
- Experience with market basket analysis & Recommendation models are welcome
Technical expertise:
- Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
- Knowledge of programming languages SQL, Python/ R, Spark.
- Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
- Experience with cloud computing services (AWS, GCP or Azure)
- Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
- Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
- Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
- Knowledge in GPU code optimization, Spark MLlib Optimization.
- Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
- Experience with ML CI/CD pipelines.
Education: A master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, or Mathematics is preferred.
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