Machine Learning Engineer (Python)

Compensation

: $78,880.00 - $187,710.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Kelly IT has a great opportunity for a Machine Learning Engineer (Python) experience!

Job Description
Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
Designs, Develops, implements and maintains business solutions. Works with main clients and project and business leaders to identify analytical requirements.
Provides tutorship to junior analysts

Academic/Experience/Competency
Bachelor's degree; Math, Economics, Statistics, Management Information Systems or Computer Science preferred.

Familiar with a variety of the field's concepts, practices, and procedures. Relies on extensive experience and judgment to plan and accomplish goals. Performs a variety of tasks. May lead and direct the work of others. A wide degree of creativity and latitude is expected.

Business Experience
4-6 Years of relevant technical or business work experience

Daily Tasks Performed

Coordination with Japan development team may require meetings once or twice a week 5:00pm to 6:00pm.

Wants
Experience implementing data analysis using languages like Python and R, with Machine Learning (ML) packages and various ML algorithms types.
Experience with data anlalytics, big data, and analytics architecture & roadmap creation to drive margin, revenue, conversions, and consumer communication.
Experience with and ownership of data-informed decision-making and consistently look out for new ways to leverage data and analytics.
Experience carrying out data identification, mapping, aggregation, conditioning, cleansing, and analyzing.
Experience modelling algorithms and rules for predictive analytics.
Experience ensuring modelling accuracy, cleanliness, reliability.
Experience with predictive and prescriptive analyses, modelling, and segmentation.
Experience working under project resource leads.
Experience translating business requirements into functional, and non-functional requirements.
Experience working for an IT organization gathering functional, and non-functional (technical) requirements, including diagramming workflows, processes, etc.
Experience in the automobile industry is preferred. Please visit the Kelly Career Network for more opportunities!Kelly IT Services is a leading IT staffing firm, providing employers with the best candidates & job-seekers with IT career opportunities.



Why Kelly?


As a worker today, it s up to you to take charge of your career and look for opportunities to learn, grow, and achieve your potential. Helping you find what s next is what we re all about. We know what s going on in the evolving world of work just ask the 440,000 people we employ each year. Connecting with us means getting the support, guidance, and opportunities needed to take your career where you may have never imagined.




About Kelly


At Kelly, we re always thinking about what s next and advising job seekers on new ways of working to reach their full potential. In fact, we re a leading advocate for temporary/non-traditional workstyles, because we believe they allow flexibility and tremendous growth opportunities that enable a better way to work and live. Connecting great people with great companies is what we do best, and our employment opportunities span a wide variety of workstyles, skill levels, and industries around the world.

Kelly is an equal opportunity employer committed to employing a diverse workforce and providing accommodations for people with disabilities in all parts of the hiring process as required under its Employment Accommodation Policy. Kelly will work with applicants to meet accommodation needs that are made known to Kelly in advance.



Job Requirements:

Associated topics: c c++, c++, develop, developer, devops, matlab, perl, python, software programmer, sw * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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