Data Scientist

November 7

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Description

• We are looking for a Data Scientist with a strong background in data engineering and a solid understanding of data science principles. • The ideal candidate will play a critical role in designing, developing, and maintaining our data infrastructure while also adding expertise to enable advanced analytics and machine learning initiatives. • This position is open based in Redmond, WA, but we will consider remote candidates in the following states: CA, CO, FL, GA, MO, NY, OR, SC, TN, TX, WA. • Job Responsibilities: • Data Pipeline Development • Design, implement, and maintain scalable data pipelines to collect, process, and store data from various sources. • Ensure data quality, accuracy, and consistency throughout the pipeline. • Data Modeling • Design and implement data models for predictive analytics, machine learning, and data exploration. • Optimize data structures and storage to support efficient querying and analysis. • Data Integration • Work closely with cross-functional teams to integrate data from diverse sources, including databases, APIs, and external data providers. • Develop and maintain ETL processes to transform and enrich raw data into actionable insights. • Performance Tuning • Monitor and optimize the performance of data pipelines and databases to meet business requirements. • Identify and resolve bottlenecks and performance issues. • Continuous Learning and mentoring • Stay up-to-date with the latest advancements in data engineering and data science technologies. • Share knowledge with team members.

Requirements

• Must Have: • 3+ years experience in SQL Query Design, SQL Performance Tuning and Query Optimization • 3+ years of relevant experience in Data Warehouse Design, Data Warehouse Technical Architectures, Development and Implementation • 3+ years of relevant experience in ETL Development, ETL Implementation, Unit Testing, Troubleshooting and Support of ETL Processes • 3+ years of relevant experience with the application of Data Science principles and data modeling. • Knowledge and Skills: • Proficiency in SQL Query Design and Implementation • Strong Experience with Relational Data Warehouse Systems • Data Warehouse Management Systems Optimization by Indexing, Partitioning and Denormalization • Strong Ability to build and optimize data sets, ‘big data’ data pipelines and architecture • Knowledge of data science concepts, machine learning algorithms, and statistical analysis. • Programming skills in languages such as Python, Java, or C# required. • Strong analytical and problem-solving skills

Benefits

• Paid Vacation Time and Paid Holidays • Medical/Vision/Dental Insurance • Voluntary Life & AD&D Insurance • Short-Term & Long-Term Disability • Critical Illness & Accident Insurance • 401(k) with employer matching • Hybrid/remote with flexible work schedule