Data Scientist

$125,000 - $145,000/Yr

Unclassified - San Ramon, CA

Full-time - Entry Level

San Ramon, CA

About the position

We are actively looking for a Data Scientist with excellent technical expertise who is interested in joining our growing team. This position offers the opportunity to engage in all levels of data science, including problem formulation, exploratory data analysis, validation, and deployment. As a Data Scientist, you will develop statistical and machine learning models tailored to solve customer needs, utilizing a variety of methodologies such as Frequentist and Bayesian Statistics, Time Series Analysis, Classical Machine Learning, Deep Learning, and Natural Language Processing. In this role, you will be responsible for providing comprehensive data reports using SQL, NoSQL solutions, PySpark, and PlotLy. You will also develop and train models utilizing Python, DVC, Experiment Logging Solutions, the Python Scientific Stack, PyMC3, Boosting Libraries, PyTorch, SpaCy, and NLTK. Participation in the development and testing of model training and scoring production pipelines is essential, as is working within an Amazon Web Services (AWS) cloud environment. Additionally, you will create and support documentation for various entities such as model experiments, training, and scoring pipelines. You will be expected to provide estimations for model development activities and maintain a roadmap, while also analyzing and investigating model issues and limitations, production requirements, and elaborating steps to reduce risks, meet expectations, and improve application quality. This position may allow for remote work and may involve travel to or relocation to anticipated or unanticipated locations across the United States, including client sites and Grid Dynamics' offices throughout the United States and/or the company headquarters located in San Ramon, CA.

Responsibilities

• Engage in all levels of data science including problem formulation, exploratory data analysis, validation and deployment.
• Develop statistical and machine learning models for solving customer needs.
• Develop solutions using Frequentist and Bayesian Statistics methods, Time Series Analysis, Classical Machine Learning, Deep Learning and Natural Language Processing.
• Provide comprehensive data reports using SQL, NoSQL solutions, PySpark and PlotLy.
• Develop and train models utilizing Python, DVC, Experiment Logging Solutions, Python Scientific Stack, PyMC3, Boosting Libraries, PyTorch, SpaCy, and NLTK.
• Participate in development and testing of model training and scoring production pipelines.
• Work in Amazon Web Services (AWS) cloud environment.
• Create and support documentation for entities such as model experiments, training and scoring pipelines.
• Provide estimations for model development activities and maintain a roadmap.
• Analyze and investigate model issues and limitations, production requirements and elaborate steps to reduce risks, meet expectations and improve application quality.

Requirements

• Bachelor of Science degree in Business Information Systems, Data Analytics, or a closely related field.
• At least ONE (1) year of experience in the job offered or at least ONE (1) year of experience in the following:
• Exploratory data analysis and reporting using advanced Frequentist and Bayesian statistical methods and visualization for highly unstructured data from different domains;
• Processing and model development of tabular, textual and speech data utilizing modern Deep Learning and Classical algorithms for summarization, sentiment analysis, emotion recognition, event detection, clusterization and classification;
• Creating Time Series Analysis models of forecasting and anomaly detection;
• Developing and testing pipelines for training and scoring in production;
• Proficiency in Python Scientific Stack.

Benefits

• Opportunity to work on bleeding-edge projects
• Competitive salary
• Flexible schedule
• Medical insurance
• Benefits program
• Social package - medical insurance, sports
• Corporate social events
• Professional development opportunities