Data Scientist

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Job Title: Data Scientist
Heitmeyer Consulting is currently seeking a Data Scientist for a contract-to-hire opportunity with one of our financial services clients. The selected candidate will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how our client understands the customers and communities they serve. This individual will contribute to building and developing the organization’s data infrastructure and support the senior leadership with insights, management reports and analysis for decision-making processes. be responsible for developing analytic solutions to emerging business problems, including predictive models, clustering algorithms, optimization, and descriptive analytics.
Job Description:

• Work closely with partners in the organization to deliver analytics solutions.
• Perform large-scale experimentation and build data-driven models to answer business questions.
• Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
• Determines requirements that will be used to train and evolve deep learning models and algorithms.
• Develop predictive models, including data sourcing, model fitting and validation, and presenting results.
• Drive innovation and improvement in analytic support to business objectives.

Job Requirements:

• Master’s Degree or PhD in Statistics, Economics, Physics, Data Science, or a related field.
• Quantitative hands-on experience through academic training.
• Work or educational experience using statistics and machine learning to solve complex business problems.
• Experience conducting statistical analysis with advanced statistical software.
• Strong Python programming experience with additional experience in the following:
  • R Studio
  • SQL
  • SAS
• Experience building and deploying predictive models.
• Experience with web scraping.

Heitmeyer Consulting is an equal opportunity employer and we encourage all qualified candidates to apply. Qualified applicants will be considered without regard to minority status, gender, disability, veteran status or any other characteristic protected by law

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