Job Location: Bhagya Nagar
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
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