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Data Scientist Jobs
Company | Advance Local |
Address | , Remote |
Employment type | |
Salary | |
Expires | 2023-07-29 |
Posted at | 10 months ago |
Diversity & Inclusion are at the core of our mission to strengthen and empower the communities we serve.
We are seeking a Data Scientist, you’ll play a critical role in building the next generation of automotive technology. Engaging with teams across the organization, you’ll help build and launch data products and solutions - from identifying problems, to defining and structuring data, to developing use-cases, to analyzing results. You’ll create a process around storing and cleaning data, designing models and algorithms, applying machine learning, and introducing and implementing exploratory techniques.
For this position we’re looking for candidates with:
We are seeking a Data Scientist, you’ll play a critical role in building the next generation of automotive technology. Engaging with teams across the organization, you’ll help build and launch data products and solutions - from identifying problems, to defining and structuring data, to developing use-cases, to analyzing results. You’ll create a process around storing and cleaning data, designing models and algorithms, applying machine learning, and introducing and implementing exploratory techniques.
For this position we’re looking for candidates with:
- Bachelor’s degree in statistics, mathematics, computer science or another quantitative field required; master’s degree preferred.
- Minimum of two years’ experience manipulating data sets and building statistical models
- Experience using statistics, propensity model building, and algorithms to manipulate data and draw insights from large data sets
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks to recommend business-growth campaigns
- Strong problem-solving skills with an emphasis on using disparate data sources
- Experience working with and creating data sets
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Build and implement models, use and create algorithms to apply to data sets and run simulations.
- Mine and analyze data from company databases to drive optimization and improvement of marketing techniques, business strategies and sales tactics.
- Coordinate with different functional teams to implement models and monitor outcomes and campaign effectiveness.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, sales targeting and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Drive business results with data-based models, analysis and insights, working with stakeholders from departments including consumer revenue, product, content, advertising and analytics to improve business outcomes using and developing a new integrated data platform as well as the customer data platform and using tools and techniques.
- Develop materials – presentations, communications, reports, etc. to explain findings.
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