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 www. FiskerInc.com – 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.
Qualifications
5+ 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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