Analytics and Data Scientist - Fairlawn, United States - Continental

Continental Fairlawn, United States

2 weeks ago

Description

Company Description

ContiTech, a division of Continental, is one of the world's leading suppliers of technical elastomer products and is a specialist in plastics technology.

ContiTech develops and produces functional parts, components, and systems for machine and plant engineering, mining, the automotive industry, and other important industries.

Job Description

Responsibility of this position is to develop IAM data strategy involving relevant technical and non-technical aspects. Position will evaluate data projects with respect to feasibility, scalability, strategic and business value, etc. Supervise, perform, and execute feasibility studies to evaluate viability of project ideas. Initiate, manage, coordinate, and steer data projects and data-related program(s).

Collect and structure business requirements for data pipelines, manufacturing apps, etc. and align them with data engineers and data scientists on Group Sector level.

Utilize accessible data and stakeholder expertise to support data-driven decision making by providing analyses and visualizations and applying data storytelling techniques to provide target-group specific insights from data.

Devise logical and physical data models as well as data architectures (in collaboration with Group Sector and IT). Devise and implement data-driven solutions using available platforms in collaboration with Group Sector and IT.

Apply standard and sophisticated data science (including state-of-the-art data mining & machine learning) methods to create transparency/solve issues with/improve core processes in manufacturing to create tangible business benefits.

Act as a BA IAM key user for selected standard analytics and visualization tools as well as BA IAM manufacturing.

Position is Hybrid and shall be located in one of the ContiTech IAM locations.

Data Science:

Manufacturing Analytics:
Analytics Apps

work with stakeholders to identify data-based improvement potentials in manufacturing

work with stakeholders to identify gaps with respect to data transparency and reporting

devise and propose concepts/requirements for closing these gaps/resolving these issues by appropriate data-driven solutions

devise suitable logical data models; implement complex physical data models for structured and semi-structured data

implement advanced analytics solutions using self-service tools

align with solution developers, data engineers and data scientists on Group Sector level

create standardized BA dashboards/reports in visualization tools with structured and semi-structured data from different sources

apply, modify and implement advanced analytics methods.

integrate and process user input and visualize results using target group-specific visuals

document implemented solutions in an accessible and understandable fashion

Data Science:

Manufacturing Analytics:
Ad-hoc Analyses:

work with stakeholders to resolve acute problems in manufacturing processes and maintenance based on data.

prepare data for ad-hoc analyses

explore data, apply basic and sophisticated analytics methods to solve business problems

identify and contribute to resolving data gaps/quality issues

guide project members through standard data mining/analytics processes

communicate findings/insights to stake holders using target-group specific visualizations and storytelling techniques

document findings in a structured fashion

Training and Coaching:
establish network and share knowledge regarding improvement opportunities, developments, available solutions, etc. in the area of data science

coach stakeholders in utilizing manufacturing apps, applying analytics tools to manufacturing problems, and agile project management tools

Digitization:
integrate data- and analytics-related requirements/options when designing new production lines/updating brown-field equipment

assess readiness of plants (infrastructure, people, processes, data landscape) for analytics solutions and data-driven projects

Data Quality Management:
detect and prevent quality issues in administrated manufacturing apps and during ad-hoc analyses

devise concepts to improve and assure data quality in a generic and sustainable manner

communicate quality issues to data owners and support data owners in resolving them

Project Management:
plan, execute and participate in projects primarily utilizing agile principles

use and promote agile project management and requirements engineering tools

report project status, goals, and results to stakeholders

Data Strategy (BA):

assess global/organizational scalability of analytics concepts and solutions

evaluate and prioritize analytics business cases proposed by stakeholders in the organization

consult decision makers regarding transformation processes including data literacy, data-driven culture, data/solution architectures, digitization, improvement of business processes, etc.

align with group sector data strategy

Qualifications

Basic Qualifications:
University degree in electrical/mechanical/manufacturing engineering, mathematics, statistics or similar.
5 or more years of professional experience in various process engineering functions
Comprehensive experience in rubber and plastic production processes and ramp-up projects.
Experience in working with international teams on production topics and understanding of foreign cultures
Proficient in English
Flexibility to travel 10-20% annually
Continental is not able to provide visa sponsorship now or in the future for this opportunity

This position is part of the One ContiTech reorganization. ContiTech employees will be given preference in the candidate selection.

Preferred Qualifications:
Master's degree in electrical/mechanical/manufacturing engineering, mathematics, statistics or similar.
7 or more years of professional experience in various process engineering functions
Cross-functional experience e.g. in engineering, quality, production or CBS preferred

Experience in Project Management with the ability to create a vision, define budgets, identify risks, and create realistic and executable timing plans.

Additional Information

All your information will be kept confidential according to EEO guidelines.

EEO-Statement:
EEO / AA / Disabled / Protected Veteran Employer.

Continental offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law.

In addition, as a federal contractor, Continental complies with government regulations, including affirmative action responsibilities, where they apply. To be considered, you must apply for a specific position for which Continental has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply.

If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available.

Further, Continental provides reasonable accommodations to qualified individuals with a disability.

If you need assistance in the application process, please reply to - or contact US Recruiting at This telephone line and email address are reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation in the job application process.

Please do not call about the status of your job application, if you do not require accessibility assistance or an accommodation.

Messages left for other purposes, such as following up on an application or non-disability related technical issues, will not receive a call back.

Ready to drive with Continental? Take the first step and fill in the online application.
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