Data Scientist

Industry: Biotechnology
Remote
Company size: 251-10K
Full-time/Part-time

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Job description

A fast-growing company addressing some of the world's most pressing global challenges and continues to develop new solutions is looking for a Data Scientist. The selected candidate will actively participate in the implementation of a software ecosystem. The XETR-listed company uses statistical modeling, exploratory data analysis, data visualization, and machine learning to drive analytics-driven decisions. They have managed to raise more than €2.5bn in funding so far.

 

Job Responsibilities:

  • Create production-ready statistical and machine learning models for projecting sales at the SKU and retailer level using large-scale information
  • Design new data sources, develop and test model modifications, execute computational experiments, and fine-tune model parameters for new models to improve on existing machine learning approaches
  • Develop and deploy analytical models for brand and key retailer statistical sales forecasts
  • Provide data-driven recommendations while working with cross-functional teams to create and deploy models and improve analytical solutions
  • Communicate complex technical concepts and nuanced insights to a wide range of audiences
  • Create data pipelines that transform raw data into aggregated data that may be utilized to generate signals
  • Extract, Transform, and Load (ETL) in cloud data platforms 
  • Produce and recognize inventive, workable solutions to business issues and difficulties to break established thought patterns
  • Ensure solid plans, review sales performance, insights data, major initiatives, and new item releases with the brand and customer teams

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a software engineer
  • Prolific skills working with Python
  • Extensive experience with databases like SQL
  • Prolific experience with exploratory data analysis, data visualization, statistical analysis, and the creation and implementation of machine learning models
  • Experience with major machine learning tools and libraries
  • Advanced computer literacy abilities, particularly in Microsoft Excel and PowerPoint, are necessary
  • Experience or understanding of common ML-Ops patterns is nice to have
  • Experience with full-stack development and time series forecasting is desirable
  • Good verbal and written communication skills
  • Nice to have some prior experience in the application of syndicated databases (IRI, Nielsen, and LiveRamp)
  • Experience working with cloud-based data and analytics platforms, standard business intelligence dashboards, and data enrichment techniques is desirable
  • Nice to have some experience with robust analytical capabilities across a variety of data sources and platforms

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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