Data Scientist/ ML

Job Title: Data Scientist/ ML

Duration: LongTerm

W2 Only

Location: Onsite (Spartanburg, SC) Position Responsibilities/Accountabilities:

List the major duties/accountabilities to achieve the positions key objectives. Analyzes business critical data / processes and recommends improvements / highlights opportunities. Works with complex data / optimization / design problems and conducts advanced analytics tasks. Assess the effectiveness and accuracy of data sources and data gathering techniques. Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Works in collaboration with internal and external teams to identify opportunities for innovation and transition them to prototype and industrialization phase. Develops custom data models and algorithms. Coordinates with different functional teams to implement solutions. Serves as internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development. Advises developers and engineers on emerging IT technologies and assists the team in process matters as related to development/support and provides the necessary on the job training and development of associates/contractors within the team. Maintains accurate, meaningful and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility. Clearly communicates requirements, progress, goals and results to business partners with various levels of technical knowledge. Performs other duties as assigned by MC Operations Supervisor.

Licenses and/or Certifications:

Process/project management experience or training/certifications (preferred).

Knowledge/Skills/Abilities:

Basic = less than 1 year of experience/training needed; Intermediate = 1 3 years of experience/some training may be needed; Advanced = 3-5 years experience/no training needed; Expert = 5+ years experience/able to train others.

5+ years of knowledge of in one or more of the following programming languages: Python, C++, C#

5+ years of experience in problem solving skills with an emphasis on IT product development

3+ years of knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks

3+ years of knowledge of a software engineering and architecture

Basic = less than 1 year of experience/training needed; Intermediate = 1 3 years of experience/some training may be needed; Advanced = 3-5 years experience/no training needed; Expert = 5+ years experience/able to train others. 5+ years of knowledge of in one or more of the following programming languages: Python, C++, C# 5+ years of experience in problem solving skills with an emphasis on IT product development 3+ years of knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks 3+ years of knowledge of a software engineering and architecture

Physical Demands

Examples are: 1) Transports materials or inspects building, equipment and other items; 2) operates computers or other office equipment ; and 3) sits or stands for prolonged periods of time. Physical demands should be described in terms of what has to be done and not in terms of physical or mental attributes.) Identify the key physical demands required to perform the essential function(s) of the job and indicate whether the responsibility is performed occasionally ( O ), frequently ( F ), or constantly ( C ).

Operates computers and network devices ("C") Travels to Germany and within the Americas ("O") Climbs stairs ("F") Walks throughout facility ("F")

Environmental Demands

Examples are: 1) Works with irritant chemicals, gases, etc.; 2) Works shifts or variable work hours; 3) Wears protective clothing or respiratory protective equipment; 4) Works in extreme heat or cold conditions; 5) Exposure to loud noises; 6) Performs work in a normal office setting). Identify the key environmental demands required to perform the essential function(s) of the job and indicate whether the responsibility is performed occasionally ( O ), frequently ( F ), or constantly ( C ).

Performs work in a normal office setting ( C )