Data Scientist

Your Key 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

Your Qualifications

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.)

Our Offering

• Comprehensive healthcare coverage: Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their well-being and peace of mind.
• Generous retirement savings options: The company provides competitive 401(k) matching contributions (up to 6%), empowering employees to build a secure financial future.
• Professional development opportunities: The company invests in its employees' growth by offering tuition reimbursement, skill development workshops, and ongoing learning and development programs.
• Wellness initiatives: Employees have access to wellness programs and resources aimed at promoting physical, mental, and emotional health, fostering a supportive and thriving work environment.

See all of our benefits at: Schaeffler Benefits