The Assoc Data Scientist joins the team to analyze data from various databases to drive optimization and improvement of product development and business strategies. This role involves interpreting data to identify trends, developing analytical models and algorithms, and creating dashboards or visualizations for monitoring model performance. The individual will ensure data accuracy through reconciliation from disparate sources while shadowing data scientists to collaborate with stakeholders and customers. Key responsibilities include identifying opportunities to leverage data for business solutions and implementing models to monitor outcomes. Required skills include experience in data mining, statistical modeling, and machine learning using R, Python, SQL, and SAS. Preferred technical competencies include Python programming, SQL database querying, Machine Learning and GenAI integration with VS Code and GitHub Copilot, and Power BI for data storytelling.
What does a Data Scientist earn?
Median $173200 from 351 postings across 62 companies.
Analyze and interpret data to identify trends and data-driven solutions for business problems.
Develop analytical models and algorithms to identify business improvement insights.
Create dashboards and other visualizations to monitor and evaluate analytical model performance.
Ensure data accuracy and quality by performing reconciliations from disparate sources.
Identify opportunities to leverage data to drive business solutions and implement models.
Monitor model outcomes to ensure they meet business objectives.
Assist in understanding business questions and translating them into data requirements.
What we're looking for
Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics, industrial engineering, or a related quantitative field.
One (1) year experience in data mining, developing/implementing statistical models, machine learning models, algorithms, or visualizing data.
Experience with statistical programming languages such as R, Python, SQL, and SAS.
Advanced knowledge of statistics and modeling techniques.
Knowledge of current programming languages and emerging data visualization techniques.
Strong analytical, critical thinking, and problem-solving skills.
Strong written and verbal communication skills and interpersonal skills.
Python Programming, SQL Database Querying, Machine Learning & GenAI Integration, and Data Storytelling & Visualization (preferred).
Python
SQL
Machine Learning
Natural Language Processing
Apache Spark
Hadoop MapReduce
HPCC ECL
Data Visualization
Data Mining
APIs
Text Mining
Model Context Protocol