Sr. Data Scientist - Forecasting and ML Ops - Urgent Role

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Job Description - Sr. Data Scientist - Forecasting and ML Ops - Urgent Role

We are desiring to recruit an experienced Sr. Data Scientist - Forecasting and ML Ops to join our high-achieving team at CTG in Pleasanton, CA.
Growing your career as a Full-Time Sr. Data Scientist - Forecasting and ML Ops is a terrific opportunity to develop useful skills.
If you are strong in presentation, research and have the right work ethic for the job, then apply for the position of Sr. Data Scientist - Forecasting and ML Ops at CTG today!

Overview

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:

  • 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.

Skills:

  • 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.

Education & Experience:

  • 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).

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 716-887-7388 or [email protected]. Kindly forward this to any other interested parties. Thank you!


Benefits of working as a Sr. Data Scientist - Forecasting and ML Ops in Pleasanton, CA:


● Unlimited Growth Potential
● Continuous Learning Opportunities
● Attractive packageCompetitive Pay
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