- Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration.
- Oversee the solution's ML Ops from a model standpoint, own the management of data & model drift.
- Retrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / format.
- Do first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging.
- Collaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver value.
- Evaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise.
- Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases.
- Experience in data management, e.g., wrangling, extraction, normalization.
- Ability to build industrialized data pipelines.
- Proficiency in SQL and Python (preferred) / R / Scala. Knowledge of big data framework like Spark is an asset.
- Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base.
- Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD.
- Experience using business intelligence tools like Power BI / Tableau.
- Experience in Azure and Databricks are a plus.
- Understanding of design and architecture principles is a plus.
- Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling.
- Strong project management skills to stay on top of the timelines and deliverables.
- Autonomy and creativity with an ability to design suitable technical solutions to solve business problems.
- Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred).
- 5+ years of overall data science experience.
- 3+ years business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units).
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Sr. Data Scientist - Pleasanton, United States - Computer Task Group, Inc
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Description
Job Description
Job DescriptionOverview
CTG is seeking to fill a Sr. Data Scientist – Forecasting and ML Ops opening for our client in Pleasanton, CA.
Location: Pleasanton, CA
Duration: 6 months
Duties:
Skills:
Education & Experience:
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.
To Apply:
To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Kimberly Watzek at or . Kindly forward this to any other interested parties. Thank you