• Quality Analytics Data Engineer - Tech Specialist Jobs in United States Of America

  • Cummins Engine, Inc.
  • United States Of America, Usa
  • Save Job
  • 0 - 3 Years
  • Posted : above 1 month

Job Description:

Quality Analytics Data Engineer - Tech Specialist

Description

Cummins is a place big enough to coach and develop a global workforce and create the worlds leading clean, engine technology Were also small enough for you to find your fit and personal passion with a team of dependable, innovative thinkers who are developing their careers within a diverse, inclusive, empowering environment

Learn more about this role and how you can begin Working Right

The Cummins Advanced Analytics organization uses the latest methods and technologies in statistics, machine learning, and artificial intelligence to take on major challenges and opportunities for Cummins and our customers We help our customers achieve greater equipment uptime and lower cost of operation, while optimizing internal company operations like engineering and manufacturing Our advanced analytics algorithms and models are becoming a core part of Cummins physical and digital products every day

This is an exciting opportunity in Columbus, Indiana for a Quality Analytics Data Engineer - Tech Specialist

Your impact will happen in these and other ways

Solves complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills Researches, designs, implements and validates complex algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts

Participates in projects to support key objectives and business goals through the use of data science methodology

Leverages advanced analytics and data science to solve complex business problems

Creates multiple algorithms using complex statistical methodologies through the use of statistical programming languages and tools

Partners with domain experts to verify model capabilities

Partners with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products

Partners with less experienced employees on data science tools and methodologies

Qualifications

Skills and Experience Required

Skills

Laboratory Equipment Safety - Evaluates hazards specific to laboratory test equipment that may result from fuels, kinetic energy, toxins, electrical or other risks in the test environment; analyzes risk factors and potential impacts to personnel and property; applies appropriate techniques or safeguards to mitigate risks; collaborates with various laboratory areas to understand risks within a facility or site

Function Based Product Testing of X - Selects appropriate equipment and techniques to operate the product and record operational data in a hardware or software based testing environment most often required as part of a product verification or validation plan; evaluates quality and validity of measurement data; analyzes test results using accepted standards to characterize product capabilities in alignment with the requirements of the engineer responsible for making product decisions

Laboratory Planning - Formulates longer-term capabilities and capacity needs based on customer testing requirements; selects from available technologies to meet and sustain capability and capacity requirements; defines appropriate manpower and skills required to operate the lab

Laboratory Work Flow Management - Evaluates manpower, equipment and material needs to meet short to mid-term test demand; designs laboratory layout and process flows to maximize efficiency and minimize waste; allocates resources on a daily basis to efficiently meet test demand

Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making

Laboratory Management - Leads technical resources while managing the business aspects of a laboratory using measure to control both the technical and business aspects of the organization and assuring the requirements of the appropriate certifications and/or accreditations are met

Decision quality - Making good and timely decisions that keep the organization moving forward

Drives results - Consistently achieving results, even under tough circumstances

Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

Builds networks - Effectively building formal and informal relationship networks inside and outside the organization

Resourcefulness - Securing and deploying resources effectively and efficiently

Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems

Prior Senior or Lead Engineer equivalent work experience in a relevant discipline area is required with a demonstrated track record of technical problem solving and quality decision making

Lead and support Data Engineering work specific to Quality Analytics

Experience

Experience with R, Python, Excel-VBA

Strong background in mathematics and statistics and also Agile Project Management

Smoothing techniques

Experience with clustering, machine learning, predictive analytics and correlation studies

Familiarity with parallel processing, agile methodology, Microsoft Azure

Visualization software such as Tableau is helpful

Education, Licenses, Certifications

College, university, or equivalent Bachelors degree in Engineering, Computer Science or Information Technology required

Compensation and Benefits

Base salary rate commensurate with experience Additional benefits vary between locations and include options such as our 401(k) Retirement Savings Plan, Cash Balance Pension Plan, Medical/Dental/Life Insurance, Health Savings Account, Domestic Partners Coverage and a full complement of personal and professional benefits

Cummins and E-verify

At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law Cummins validates right to work using E-Verify Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employees Form I-9 to confirm work authorization

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Manufacturing/Industrial
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 20th Jan 2020

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