Note: The job is a remote job and is open to candidates in USA. Quantum World Technologies Inc. is seeking a Data Scientist - Demand Forecasting to manage multiple consulting projects and lead a team of data scientists. The role involves ensuring on-time delivery for clients, contributing to business development, and applying AI and ML models to solve business problems.
Responsibilities
- Manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients
- Lead a team of data scientists and collaborate across cross-functional groups
- Contribute to new business development, supporting strategic business decisions and maintaining & strengthening client base
- 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
- Be responsible for team members' appraisals and career development
- Participate and lead executive presentations with client leadership stakeholders
- Be part of an inclusive and open environment
- Drive organizational level initiatives that will challenge and grow 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 clients
- Lead multiple teams across clients ensuring quality and timely outcomes on all projects
- Lead and manage the onsite-offshore relationship, 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 careers 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 organizational level initiatives to build the future
Skills
- Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience
- 8-14 years of experience in data science, building hands-on ML models
- Expertise in Demand Forecasting at scale is mandatory
- 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
- Experience in Retail industry preferred
Company Overview