Data Scientist

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

• 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