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Staff Data Scientist

US Remote, San Ramon, CA, US

Various worksites—job may allow for remote work; job may involve relocation to anticipated or unanticipated locations across the United States, including client sites and Grid Dynamics’ offices throughout the United States and/or company headquarters located in San Ramon, CA.

We are actively looking for a Staff Data Scientist with excellent technical expertise who is interested in joining our growing team. Join our bright engineering team with open communication, empowerment, innovation, and customer-centric culture.

Essential functions

·      Lead the development and implementation of advanced deep learning models using a comprehensive technology suite including Pytorch-Lightning, PyTorch, Pytorch-Lifestream, PySpark, Google Cloud Platform (GCP), CLIP, Domino, Cloudera, VertexAI, and Hadoop.

·      Technical lead for data science team and oversee client communications to ensure project progress.

·      Manage the full lifecycle of model development and deployment, from initial R&D to final implementation, developing project roadmaps and backlogs in alignment with strategic objectives for efficient project completion.

·      Responsible for deploying machine learning models in production environments, optimizing for performance.

·      Engage in strategic discussions with executive data science leadership to devise and refine deep learning solutions.

·      Enhance and modernize legacy deep learning systems to current standards.

·      Execute large-scale model development projects.

·      Oversee ETL operations, addressing and resolving issues to ensure data integrity and process efficiency.

·      Various worksites—job may allow for remote work; job may involve relocation to anticipated or unanticipated locations across the United States, including client sites and Grid Dynamics’ offices throughout the United States and/or company headquarters located in San Ramon, CA.

Qualifications

·      Bachelor of Science degree in Computer Science, Information Technology, Computer Engineering, Applied Mathematics, or a closely related field

 ·      At least TWO (2) years of experience in the job offered or at least TWO (2) years of experience in the following:

1.     Developing and implementing deep learning and machine learning models, including neural networks, predictive modeling, and data analysis in the churn forecasting field.

2.     Python, including libraries PyTorch and TensorFlow.

3.     Managing Extract, Transform, Load (ETL) processes.

4.     Big Data Technologies: Hadoop, Spark, and big data querying tools.

5.     Google Cloud Platform (GCP) in data storage.

Technical project leadership, including planning, managing, execution, and delivering within timelines

We offer

·      Opportunity to work on bleeding-edge projects

·      Wage range: $150,000.00-170,000.00 per year

·      Work with a highly motivated and dedicated team

·      Competitive salary

·       Flexible schedule

·      Medical insurance

·      Benefits program

·      Social package - medical insurance, sports

·      Corporate social events

·      Professional development opportunities

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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