DENSO
Data Scientist 2
DENSO, Southfield, Michigan, United States, 48076
Job Description
JOB SUMMARY
Under moderate supervision, applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Data analysis may be applied to various areas of the business (e.g, Manufacturing, Supply Chain, Marketing/Advertising, etc.).
ESSENTIAL DUTIES AND RESPONSIBILITIESDevelops and maintains statistical models and machine learning models capable of extracting valuable business and/or technical insights from large data sets.Proactively participates in developing scalable Business Intelligence (BI) and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining.Assists with conducting needs assessment and requirements gathering to design and assistin deploying data analytics solutions.Performs data manipulation and analytics and translates insights into actionable recommendations to management and customers.Prepares presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders.Facilitates training and education of associates related to new systems and procedures.Creates standards for process improvement projects using Data Analytics and Statistical Analysis Theory.Applies statistical expertise to advance current and future regional initiatives.Maintains current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions.Performs other duties as assigned.QUALIFICATIONS
Education
Required: Bachelor's degree in math, statistics, computer science, software engineering or a related fieldPreferred: Master's degree math, statistics, computer science, software engineering or a related fieldWork Experience
Required: 2-5 years of relevant experienceExperience using programming languages like C, C++, Java, Java Script, R, SQL, Python and basic IoT tools and concepts (e.g. Hadoop, OPC UA/DA, API, MATLAB etc)Preferred: Successfully helped bring products to market supported by data sciencePreferred: Experience with Computer Vision, capable to develop & deploy Artificial Intelligence (AI) algorithmsPreferred: Automotive ExperienceSKILLS AND ABILITIES
Proficient with databases and large data sets and related reporting toolsUnderstands and supports MLOps practicesProficient with Cloud Based Data Science Tools and ProcessesComfortable interacting with Management and Engineering staff to use Data Science to bring ideas and analysis into production productsUnderstands IoT Best Practices with knowledge of deploying machine learning models to IoT DevicesAnalytical skills with an ability to independently evaluate and develop innovative solutions to complex situationsWritten and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management.Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional teamContinuous improvement mindsetAbility to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work resultsBENEFITS SUMMARY:
Health, Dental, Vision, Prescription Drug plansLife and Accidental Death & Dismemberment InsuranceFlexible Spending AccountEmployee Assistance Program401K with 4% company matchBonus ProgramWellness ProgramOnsite Fitness Center (vary by location)Tuition ReimbursementCareer Development and Ongoing TrainingPaid holidays and vacationCafeteria and food markets (vary by location)Volunteer opportunitiesEmployee recognition (employee and milestone events)
Annual Salary: $88,000-$110,000
JOB SUMMARY
Under moderate supervision, applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Data analysis may be applied to various areas of the business (e.g, Manufacturing, Supply Chain, Marketing/Advertising, etc.).
ESSENTIAL DUTIES AND RESPONSIBILITIESDevelops and maintains statistical models and machine learning models capable of extracting valuable business and/or technical insights from large data sets.Proactively participates in developing scalable Business Intelligence (BI) and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining.Assists with conducting needs assessment and requirements gathering to design and assistin deploying data analytics solutions.Performs data manipulation and analytics and translates insights into actionable recommendations to management and customers.Prepares presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders.Facilitates training and education of associates related to new systems and procedures.Creates standards for process improvement projects using Data Analytics and Statistical Analysis Theory.Applies statistical expertise to advance current and future regional initiatives.Maintains current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions.Performs other duties as assigned.QUALIFICATIONS
Education
Required: Bachelor's degree in math, statistics, computer science, software engineering or a related fieldPreferred: Master's degree math, statistics, computer science, software engineering or a related fieldWork Experience
Required: 2-5 years of relevant experienceExperience using programming languages like C, C++, Java, Java Script, R, SQL, Python and basic IoT tools and concepts (e.g. Hadoop, OPC UA/DA, API, MATLAB etc)Preferred: Successfully helped bring products to market supported by data sciencePreferred: Experience with Computer Vision, capable to develop & deploy Artificial Intelligence (AI) algorithmsPreferred: Automotive ExperienceSKILLS AND ABILITIES
Proficient with databases and large data sets and related reporting toolsUnderstands and supports MLOps practicesProficient with Cloud Based Data Science Tools and ProcessesComfortable interacting with Management and Engineering staff to use Data Science to bring ideas and analysis into production productsUnderstands IoT Best Practices with knowledge of deploying machine learning models to IoT DevicesAnalytical skills with an ability to independently evaluate and develop innovative solutions to complex situationsWritten and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management.Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional teamContinuous improvement mindsetAbility to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work resultsBENEFITS SUMMARY:
Health, Dental, Vision, Prescription Drug plansLife and Accidental Death & Dismemberment InsuranceFlexible Spending AccountEmployee Assistance Program401K with 4% company matchBonus ProgramWellness ProgramOnsite Fitness Center (vary by location)Tuition ReimbursementCareer Development and Ongoing TrainingPaid holidays and vacationCafeteria and food markets (vary by location)Volunteer opportunitiesEmployee recognition (employee and milestone events)
Annual Salary: $88,000-$110,000