Enterprise Advanced Analytics Data Scientist

At Greene, Tweed, you'll find the cutting-edge technology, world-class polymer expertise and endless advancement opportunities you'd expect from a multi-national industry leader. You'll find them all in an environment that embraces diversity in people and opinions, moves decision making to the point of impact, and celebrates your success.

If you enjoy continuous learning and are excited about working with and creating technological solutions, explore career opportunities with Greene, Tweed.

Job summary

Enterprise Advanced Analytics Data Scientist will work to find actionable insights that are key to a company's growth and decision-making, develop predictable models and provide data for decision making. The position will work closely with Data Analysts and Data Architects to integrate customer, financial, and operational data into analytic software applications by converting business requirements into visual dashboards and predictable models. This position turns data into information that will be used by Management to drive better business decisions. This position will also support the creation and implementation of a culture of data literacy.

Specific Responsibility

• Work on all aspects of design, development, validation, scaling, and integration of analytical solutions, coordinating with business groups to organize challenging problems, develop new solutions, and ensure that the solutions deliver value

• Develop predictive models that are insightful and actionable, testing and validating the accuracy and functionality.

• Develop high level and automated data visualizations to capture time series trends

• Determines, defines and deploys predictive/prescriptive analytic solutions to meet business objectives

• Chooses best fit methods, defines algorithms, validates and deploys models to achieve business results

• Use machine learning methods (e.g., cluster analysis, decision trees, random forest, neural networks, logistics regression) to model and predict business outcomes, such as classification of errors

• Use advanced mathematical techniques (correlation, regression, time series analysis, analysis of variance, etc.) to forecast business outcomes

• Identify appropriate methods to conduct analyses on corporate data including simulation methods (e.g., bootstrap, Monte Carlo, bagging methods), machine learning, and statistical analyses

• Evaluate model fit and performance using a series of techniques (e.g. RMSE, RMSEA, MAE, MSE, MAPE, Accuracy, Recall, Precision, Etc.)

• Evaluate corporate data / metrics and develop mathematical models to support assessment of metrics and predict future levels

• Create recurrent summary reports of data exception metrics, trends, outliers.

• Work with Qlik, Tableau, Power BI for visualizations and with R and Python to manipulate and transform data

• Communicate to internal customers through graphical representation / visualizations, reports, algorithms, models, and dashboards

Required Minimum Qualifications

Education: BS degree required, inclusive of coursework in Mathematics and/or Computer Science; Preference given to candidates whose degree is in one of these disciplines.

Skills and Experience

• Minimum 10 years demonstrated analytical skills, including the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Selected candidate must have proven experience manipulating data sets, designing databases, applying statistical analysis and developing predictive models to make strategic business recommendations

• Programming Skills (VBA, R, Python, etc) required

• Experience with business case analysis (problem identification, quantitative modeling and problem solving)

• Strong interpersonal skills, including the ability to interact cross-functionally across all levels of the organization required

• Strong communication skills and the ability to collaborate effectively in a team environment required

• Self-Motivation, creativity and eagerness to learn (passion for analytics and innovation) a must

• The ability to manage vendors desired Essential Job Functions

Physical Requirements

Standing Occasionally (16-45%)

Sitting Frequently (46-100%)

Lifting Up to 10lbs without assistance

Carrying Up to 10lbs without assistance

Walking Frequently (46-100%)

Hearing Ability to detect noises with or without corrective device(s)

Vision Clarity of vision, with or without corrective lenses

Mental Requirements

Problem Solving Frequently (46-100%)

Making Decisions Ability to make decisions that have a moderate impact

Supervise Rarely (0-15%)

Interpret Data Frequently (46-100%)

Organize Frequently (46-100%)

Read/Write Frequently (46-100%)

Communication Frequently (46-100%)

Work Environment

High Temperatures Rarely (0-15%)

Low Temperatures Rarely (0-15%)

Noises Moderate (business office with computers, printers and light office noises)

Fumes Exposure Rarely (0-15%)

Note: This Job Description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by the Supervisor. All requirements are subject to change and updates.

We also provide eligible employees with a competitive benefits package that includes health insurance, flexible spending accounts, health savings account, 401k savings plan, life and disability insurance, tuition assistance and more, to meet the diverse needs of all employees and their family members.

Equal Opportunity Employer:

Greene, Tweed is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, physical or mental disability, veteran status, or any other federally protected class.

Drug Free Workplace:

Greene, Tweed is a Drug Free Workplace. Employment is contingent upon successful completion of a pre-employment drug screening and background investigation subject to federal, state, and local laws.

NOTE: Greene, Tweed is not seeking assistance or accepting unsolicited resumes from search firms for employment opportunities, unless they have a written agreement for the position they are contacting us about. Regardless of past practice, all resumes submitted by search firms to any employee at GT without a valid written search agreement in place for that position will be deemed the sole property of Greene, Tweed, and no fee will be paid in the event the candidate is hired by Greene, Tweed as a result of the referral or through other means.

Where Inspiration Drives Innovation

At Greene Tweed we believe that our true capability as a technology-focused company comes from our employees. Every customer challenge is solved by a team, and members are engaged across departments. From engineering and manufacturing, to sales and marketing, we work together using cutting-edge technology to assess problems, recommend solutions, and bring them into reality.

The tools of social business bring voices from around the world together in collaboration. And advanced capabilities such as FEA and state-of-the-art laboratories allow for comprehensive testing, analysis, and predictive modeling. Our manufacturing facilities expand the limits of possibility in fabrication. And embedded Lean Six Sigma upholds the highest levels of quality and efficiency during production.

This process of development is fundamental to Greene Tweed's ability to solve critical challenges. And it means going beyond the right tools, and seeking out the right people.