What are the responsibilities and job description for the Data Scientist position at DenkenSolutions Inc?
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Data Scientist (Machine Learning, Databricks) | 100% Remote |
Only Local to MN (with MN ID card)
Location : 100% Remote (Eden Prairie, MN - Telecommute)
Duration : 9 Months (Contract) W / 2
Job Summary :
seeking a Data Scientist with expertise in machine learning, Databricks, and marketing analytics to join the Marketing Performance Analytics & Insights Team. This role will drive data-driven decision-making, customer segmentation, and predictive modeling to optimize marketing performance across 25 B2B & B2C products.
Key Responsibilities :
Develop predictive models & customer segmentation using demographic, psychographic, and statistical data.
Optimize marketing campaigns, audience segmentation, and personalization strategies.
Migrate existing models to a new environment and integrate third-party data sources.
Conduct rigorous data analysis to extract key insights for marketing, product, and client relations.
Clean, validate, and prepare data pipelines for analytics and campaign measurement.
Investigate discrepancies in marketing datasets, troubleshoot anomalies, and improve data reliability.
Identify trends in member behavior and engagement to drive strategic decision-making.
Required Skills & Experience :
Strong problem-solving mindset – ability to navigate complex, messy data environments.
Data Pipeline Development – experience in cloud services & Databricks.
Machine Learning & Predictive Modeling – hands-on expertise with ML frameworks & algorithms.
Programming Languages : Proficiency in Python or R for data modeling and analytics.
SQL Database Querying & Data Manipulation – strong skills in handling large datasets.
Marketing Analytics & Personalization – experience building models for marketing use cases.
Data Visualization & Reporting Tools – ability to present insights effectively.
Experience building ML models in Databricks is a must.
Ideal Candidate :
Passionate about solving ambiguous data challenges and improving data-driven marketing strategies.
Strong collaboration and communication skills to work cross-functionally.
Results-driven with a commitment to data integrity and innovation.
