200+ applicants
Schaeffler · 2 days ago
Data Scientist
Fort Mill, SC
Full-time
Onsite
Entry, Mid Level
2+ years exp
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Responsibilities
Lead discovery processes with business stakeholders to identify opportunities and business problems and framing them into an IT data science/ advanced data analytics project initiative.
Identification and extraction of available and relevant data from internal and external data sources to perform data science solution development.
Perform data cleansing using data processing and statistical software packages.
Perform data quality assessments and statistical testing to verify data quality and data integrity
Exploratory data analysis for extracting business insights from large volume of data using data science toolkits and statistical packages.
Translate and visualize data into information and insights to discover trends and patterns for solving the business problem and improving the Key Performance Indicators (KPIs)
Develop custom data models, standard statistical models, machine learning or deep learning algorithms for building diagnostic, predictive and prescriptive data science solution.
Coordinate with different functional agile teams such as data engineering and software development to deploy the data science solutions to production and integrate it with existing IT digital solutions and products
Qualification
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Required
Master’s degree in Applied Mathematics, Statistics, Machine Learning, Electrical Engineering, Computer Science/Information Systems or related fields or MBA with quantitative focus
Minimum 2 years of full-time experience as a data scientist
Industrial research and development and advanced data analytics experience
Experience in data mining for large volumes of data, extracting insights and building prediction and system optimization models
Comprehensive statistical knowledge (regression/classification models, design of experiments, statistical testing etc.) and experience applying it to real-world projects
Strong knowledge in the application of Machine Learning
Experience with common data science toolkits, such as SQL, R and/or Python with high proficiency in the use of opensource statistical and machine learning packages (numpy, pandas, scikit-learn, stats tool etc.)
Experience delivering data science projects from model development to production deployment
Preferred
Deep Learning algorithms (TensorFlow or Equivalent framework), ideally demonstrated by relevant industrial experience
Experience in deploying predictive or prescriptive data science solutions from any embedded electronic sensor data streams (such as IoT sensors, PLC systems, condition monitoring systems, wearables etc.)
Benefits
Comprehensive healthcare coverage
Generous retirement savings options
Professional development opportunities
Wellness initiatives
Company
Schaeffler
Schaeffler is a supplier of automotive and industrial sectors for inventions and developments in the fields of motion and mobility.
10,001+ employees
H1B Sponsorship
Schaeffler has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (30)
2022 (36)
2021 (43)
2020 (32)
Funding
Current Stage
Late StageLeadership Team
Shelley Maxwell
Human Resources Director - Industrial Americas & CEO Functions
Jonas B.
CFO Legal Entities Schaeffler Group USA
Recent News
2024-06-05
2024-06-03
2024-04-27
Company data provided by crunchbase
