Senior Data Scientist, Vehicle Efficiency
Company: Lucid Motors
Location: Newark
Posted on: June 20, 2022
Job Description:
Leading the future in luxury electric and mobilityAt Lucid, we
set out to introduce the most captivating, luxury electric vehicles
that elevate the human experience and transcend the perceived
limitations of space, performance, and intelligence. Vehicles that
are intuitive, liberating, and designed for the future of mobility.
-We plan to lead in this new era of luxury electric by returning to
the fundamentals of great design - where every decision we make is
in service of the individual and environment. Because when you are
no longer bound by convention, you are free to define your own
experience. -Come work alongside some of the most accomplished
minds in the industry. Beyond providing competitive salaries, we're
providing a community for innovators who want to make an immediate
and significant impact. If you are driven to create a better, more
sustainable future, then this is the right place for you.The Data
Science and Machine Learning team at Lucid is on the mission to
design, develop, and deploy AI solutions to help make safe and
sustainable products and services on par with Lucid's Luxury brand.
Data generated by electric vehicles is rich and diverse and driving
insight from it is a very exciting and challenging task. This
opportunity involves creating end-to-end AI solutions from design
and development to delivery of data-driven services and products
utilizing AI, big data, cloud, and edge computing.The Role
- Work on state-of-the-art large-scale data analytics and machine
learning projects
- Derive insights from in-vehicle measured signals, understand
and model electric vehicle efficiency, including energy
consumption, transformation, and losses
- Drive data driven predictive analytics, fault detection, and
optimization of electric vehicle components from billions of
measurements
- Adapt machine learning and data mining algorithms to solve
problems across several teams
- Design and develop data science pipeline using PySpark, SQL,
Airflow for parallel big data processing
- Help define the analytical direction and influence the
direction of the associated engineering and infrastructure
work
- Articulate business questions and use mathematical techniques
to arrive at an answer using data. Translate results into business
and engineering recommendations
- Partner with internal stakeholders on projects to identify and
articulate opportunities, see beyond the data to identify solutions
that support decision making
- Lead projects with hands-on analysis and modeling, drawing from
multiple analytical methods to choose the right tool and right
level of complexity appropriate for the challenge
- Engage broadly with the organization to identify, prioritize,
frame, and structure complex and ambiguous challenges, where
advanced analytics projects or tools can have the biggest
impact.Qualifications
- Ph.D. or Masters in Computer Science, Statistics, Physics,
Engineering, Operations Research or related field
- 3+ years of Data or Machine learning Science experience working
on highly complex problems in a dynamic setting
- Strong programming skills in Python, Pyspark, SQL with 3+ years
of relevant experience in a programming intensive role
- Technical expertise in one or more of the following Data
Science topics: Statistics, time-series data analysis and modeling,
Traditional Machine Learning methods, Deep learning and CNNs,
Optimization and operations research
- Relevant work experience, including experience applying
advanced analytics, and data mining techniques
- Experience with rule engine applications using distributed
computing MapReduce, Spark, etc.
- Experience with data presentation and visualization with tools
such as Tableau, Zeppelin and other similar tools
- Proven track record of developing and deploying algorithms for
a production-ready recommendation, data mining or prediction
systems using languages and big data platforms such as Scala,
Python, Java, Spark, Presto, and Hive
- Excellent communication and presentation skills Nice to Have
- General understanding of mechanics, electrodynamics,
thermodynamics, or aerodynamics is a big plus
- Relevant experience in Automotive, Transportation or
Manufacturing
- Experience with telematics data analytics and decision modeling
is a plus
- Proficiency with a deep learning framework such as TensorFlow,
Keras, Pytorch, Caffe, MXNet, etc.
- Experience with Natural Language Processing (NLP), text mining,
sentiment analysis, information retrieval, etc.At Lucid, we don't
just welcome diversity - we celebrate it! Lucid Motors is proud to
be an equal opportunity workplace. We are committed to equal
employment opportunity regardless of race, color, national or
ethnic origin, age, religion, disability, sexual orientation,
gender, gender identity and expression, marital status, and any
other characteristic protected under applicable State or Federal
laws and regulations.
Notice regarding COVID-19 vaccination requirement as a condition of
gainful employment within the United StatesAt Lucid, we prioritize
the health and wellbeing of our employees, families, and friends
above all else. In response to the novel Coronavirus, and the
increased transmissibility with recent variants, all new Lucid
employees, whose job will be based in the United States, must
provide original documentation confirming status as having received
the prescribed inoculation (doses) based on the manufacturer's
guidelines on their first day of employment. -Individuals seeking a
medical and/or religious exemption from this requirement may be
granted such an accommodation after submitting a formal request to
and the subsequent review and approval thereof by our dedicated
Covid-19 Response team. -To all recruitment agencies: Lucid Motors
does not accept agency resumes. Please do not forward resumes to
our careers alias or other Lucid Motors employees. Lucid Motors is
not responsible for any fees related to unsolicited resumes. -
Keywords: Lucid Motors, Newark , Senior Data Scientist, Vehicle Efficiency, Other , Newark, California
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