Job description

About Fisker Inc.

California-based Fisker Inc. is revolutionizing the automotive industry by developing the most emotionally desirable and eco-friendly electric vehicles on Earth. Passionately driven by a vision of a clean future for all, the company is on a mission to become the No. 1 e-mobility service provider with the world’s most sustainable vehicles. To learn more, visit – and enjoy exclusive content across Fisker’s social media channels: Facebook, Instagram, Twitter, YouTube and LinkedIn. Download the revolutionary new Fisker mobile app from the App Store or Google Play store.

Job Responsibilities

  • You will be responsible for providing the data analytics, including assembly of data for building models, building data pipelines, and performing predictive/prescriptive analytics
  • Build predictive models and machine-learning algorithms
  • Develop processes and tools to monitor and analyze performance and data accuracy of the model
  • Analyze large amounts of information to discover trends and patterns
  • Work on prototypes and proofs of concepts in collaboration with data engineering team and business analysts
  • You analyze large amounts of information to discover trends and patterns
  • Undertake preprocessing of structured and unstructured data
  • Monitor and sustain model effectiveness
  • Combine models through ensemble modeling
  • Present complex information using data visualization techniques
  • Propose solutions and strategies to business challenges that drive business impact


  • 4+ year of experience in a Data Scientist role is a must for this role
  • Extensive knowledge in statistical modeling and techniques like data mining, machine learning, natural language processing
  • Proficiency in tools like Azure ML, R and Python
  • Experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages
  • SQL expertise and relational database experience
  • Experience in processing large amounts of structured and unstructured data.
  • Understanding of how algorithms work and have experience building high-performance algorithms
  • Enjoy being challenged and to have a desire to solve complex problems
  • Preferred advanced Degree in a quantitative discipline such as Statistics, Math, or Computer Science.
  • Excellent oral and written communication skills

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