[Remote] Data Scientist - Demand Forecasting

Note: The job is a remote job and is open to candidates in USA. Tredence Inc. is a global analytics services and solutions company known for its rapid growth in the data analytics space. They are seeking a Data Scientist specializing in Demand Forecasting to manage consulting projects, lead a team of data scientists, and contribute to business development while ensuring high-quality deliverables for clients.

Responsibilities

• Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
• Work with teams of smart collaborators. Be responsible for their appraisals and career development
• Participate and lead executive presentations with client leadership stakeholders
• Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
• See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities
• 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
• Lead or contribute to org level initiatives to build the Tredence of tomorrow

Skills

• Demand Forecasting at scale is mandatory
• Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience
• 8-20 years of experience in data science, building hands-on ML models
• 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 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
• Knowledge and exposure to Gen AI
• Experience in Retail industry preferred

Company Overview

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