- 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
Description
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:
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 providedFor additional information, please contact Kimberly Watzek at or . Kindly forward this to any other interested parties. Thank you
About Us
CTG is a leading provider of digital transformation solutions and services that accelerate clients' project momentum and achievement of their desired IT and business outcomes. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. CTG has operations in North America, South America, Western Europe, and India. For more information, visit
Our culture is a direct result of the people who work at CTG, the values we hold, and the actions we take. In other words, our people are the culture. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. Part of our mission is to cultivate a workplace that attracts and develops the best people, reflected by our recognition as a Great Place to Work-certified company in every country in which we operate.
CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws.
CTG is an Equal Opportunity and Affirmative Action Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. Our Affirmative Action program serves to promote occupational equality and diversity through good faith efforts. CTG is fully committed to promoting employment opportunities for members of protected classes.
