Data Scientist
Apply NowCompany: Tech Tammina
Location: Detroit, MI 48228
Description:
Data Scientist / Full Stack Developer
The energy at our company is contagious. We're driven by our immense passion, as we constantly seek out challenges and identify new opportunities. We work hard to connect with our customers and earn their loyalty for life. Bring your talent to our company - our opportunities for growth span the globe. We will give you the training and opportunities to unleash your ambition.
Responsibilities:
Solve complex problems and present expert advice to leadership in a clear and thoughtful way - with a focus on actionable solutions
Leverage state-of-the art data science and predictive statistical methodologies to enhance retail performance
Utilize data science / developer skill set to develop products and analytical tool sets with the goal of improving business results
Requirements
Substantial professional experience using data science techniques to improve business results
Technical proficiency using R, Python, and other analytical programming languages
Ability to query large data sets using SQL or Spark; experience with cloud-based environments preferred
Demonstrated experience using data visualization software such as Tableau or Power BI
Working knowledge of statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.
Strong interpersonal skills, including the ability to communicate the business benefits of analytics
Ability to apply multiple solutions to business problems
Ability to quickly comprehend the functions and capabilities of new technologies
Basic Requirements
4 +years of experience using data to solve problems, answer questions, and create visualizations
4 +years of experience in data quality analysis and data architecture
4 +years of professional development experience
4 +years of experience in Big Data technologies in Hadoop/Hive/Spark platform using Python/Scala
Master's degree in Statistics, Mathematics, Operations Research, Economics, Physics, Computer Science or other STEM fields
Work Site Description: Work from home, but must be local to go onsite for collaboration
Preferred Work Schedule: 8:00 am - 5:00 pm core hours and available other hours as needed
The energy at our company is contagious. We're driven by our immense passion, as we constantly seek out challenges and identify new opportunities. We work hard to connect with our customers and earn their loyalty for life. Bring your talent to our company - our opportunities for growth span the globe. We will give you the training and opportunities to unleash your ambition.
Responsibilities:
Solve complex problems and present expert advice to leadership in a clear and thoughtful way - with a focus on actionable solutions
Leverage state-of-the art data science and predictive statistical methodologies to enhance retail performance
Utilize data science / developer skill set to develop products and analytical tool sets with the goal of improving business results
Requirements
Substantial professional experience using data science techniques to improve business results
Technical proficiency using R, Python, and other analytical programming languages
Ability to query large data sets using SQL or Spark; experience with cloud-based environments preferred
Demonstrated experience using data visualization software such as Tableau or Power BI
Working knowledge of statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.
Strong interpersonal skills, including the ability to communicate the business benefits of analytics
Ability to apply multiple solutions to business problems
Ability to quickly comprehend the functions and capabilities of new technologies
Basic Requirements
4 +years of experience using data to solve problems, answer questions, and create visualizations
4 +years of experience in data quality analysis and data architecture
4 +years of professional development experience
4 +years of experience in Big Data technologies in Hadoop/Hive/Spark platform using Python/Scala
Master's degree in Statistics, Mathematics, Operations Research, Economics, Physics, Computer Science or other STEM fields
Work Site Description: Work from home, but must be local to go onsite for collaboration
Preferred Work Schedule: 8:00 am - 5:00 pm core hours and available other hours as needed