Data Science Engineer
, AZ, United States
As a Data Science Engineer, you'll work with a team of Data Scientists on subjects like Customer Lifetime Value, churn, customer experience, and call center activity.
WHAT YOU'LL DO:
Enrich data assets to extract valuable business insights and improve the predictive power of ML models.
Focus on feature engineering, analytics, and the presentation of findings that help drive business results. Identify and understand valuable data assets and automate ingestion/ETL processes.
Clean, prep and verify the integrity of data for use in ML or reporting.
Develop sophisticated and automated pipelines for ML and Data processing.
Demonstrate a high degree of critical thinking and problem-solving skills.
Undertake processing of structured and unstructured data. Advanced skills in Spark is preferred.
Analyze large amounts of information to discover trends and patterns.
Present information using data visualization techniques.
Propose solutions and strategies to business challenges.
Analytical with a knack for data manipulation, problem-solving, and storytelling.
You have a passion for creating end-to-end data pipelines along with a solid interest and understanding of ML and AI.
WHAT YOU'LL BRING:
5+ years of relevant professional experience.
Experience in data mining, processing, and modeling.
Ability to solve complex analytical problems.
Experience in Microsoft tools including Azure Data Factory, Azure Synapse, Data Bricks, and Spark.
Some experience in data engineering, data science, or operations research/analysis is preferred.
Demonstrable knowledge of common coding languages (Python, SQL, R) with the ability to learn new skills and apply skills in new environments.
Experience using business intelligence tools (e.g. Power BI) and data frameworks (e.g. relational models).
Ability to collaborate with colleagues (IT, Business, and Data Science) and work well with vendors/partners.
Earned at least a Bachelor’s Degree in Computer Science, Mathematics, Statistics, Applied Mathematics, Data Science, or quantitative field.
Excellent communication and presentation skills.
Analytical mind and business acumen, specific experience in Marketing and customer analytics is preferred.
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