Job Title: Data Scientist
Keywords: Python, SQL, Tableau, ML
Skills Preferred: Angular, Python (Django), DevOps, AWS, Jira
Location: Munich, Erlangen, Nuremberg or near by cities (On-Site)
Experience: Minimum 7+ Years
No of Positions: No longer accepting applications
Job Type: Full-time
Posting Date: 18/June/2023
Start Date: ASAP

REQUIRED SKILLS AND QUALIFICATIONS:

• 7+ years of experience in data science.
• Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline.
• Advanced experience in:
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• Programming languages Python, SQL

• Statistics and probability modeling: Probability distributions, Bayesian (or frequency) statistics, Dimension reduction
• Data wrangling and database management- any tools for data wrangling such as Altair, Talend, Alteryx, Trifacta, Tamr and database management tools like MySQL, MongoDB, Oracle
• Machine learning and deep learning
• Data visualization- Tableau, Microsoft Excel, PowerBI
• Cloud computing- AWS, Azure, Google cloud
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
• Professional certification.
  We offer a competitive salary, performance-based incentives, and a supportive work environment that encourages professional growth and development. If you are a motivated and results-oriented individual with a passion for IT, we want to hear from you!
  If this all sounds exciting, please apply using “Apply Now” or send your application to jobs@barytech.com asap.
  Thanks for your interest. We look forward to getting to know you

OBJECTIVES OF THIS ROLE:

• Collaborate with product design and engineering teams to develop an understanding of needs.
• Research and devise innovative statistical models for data analysis.
• Communicate findings to all stakeholders.
• Enable smarter business processes by using analytics for meaningful insights.
• Keep current with technical and industry developments.

RESPONSIBILITIES:

• Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
• Execute analytical experiments to help solve problems across various domains and industries.
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns, and interpret data with clear objectives in mind.
• Implement analytical models in production by collaborating with software developers and machine-learning engineers.