Data Scientist

We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization, and using models to test the effectiveness of different courses of action. This role will require both a strong technical background in data analysis and the ability to communicate findings to non-technical teams and stakeholders.

Key Responsibilities:

• Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or another quantitative field.
• 2 years of experience in a Data Scientist or Data Analyst role.
• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Excellent written and verbal communication skills for coordinating across teams.

Preferred Skills:

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with AWS, Azure, or another cloud service.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Benefits:

• Competitive salary and benefits package.
• Dynamic and innovative work environment.
• Opportunities for professional growth and development.
• [Other company-specific benefits like remote work options, flexible schedules, wellness programs, etc.]

How to Apply: Please submit your resume, cover letter, and any relevant work samples

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