Data Science Manager (IT Business Manager)

Ascend Performance Materials Holdings, Inc. in Houston, Texas seeks Data Science Manager (IT Business Manager). Worksite: 1010 Travis Street, Ste. 900, Houston, Texas 77002. Must apply online at: https://www.ascendmaterials.com/work/.

DUTIES AND RESPONSIBILITIES

Work with the digital technical team to enable the deployment and sustainability of an Artificial Intelligence Practice at Ascend and support business teams with insights gained from analyzing company data. Use large data sets to find opportunities for product and process optimization and use models to test the effectiveness of different courses of action.

Use a variety of data mining/data analysis methods, utilize a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. Drive business results with their data-based insights. Work with a wide range of stakeholders and functional teams.

Discover solutions hidden in large data sets and work with stakeholders to improve business outcomes. Work on modernization of AI tools &/ solutions. Establish and lead the continuous improvement and sustainability of the AI tools &/ solutions.

Work with both in-house and 3rd party Data Scientists. Work with 3rd party AI solution providers. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.

Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes.

Develop processes and tools to monitor and analyze model performance and data accuracy. Use statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Work with and creating data architectures.

Work with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Utilize advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and applications. Work with C, C++, Java, Microsoft Azure AI/ML, Amazon AI.

Work with statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Work with querying databases and using statistical computer languages:

R, Python, SLQ, etc. Use web services: Redshift, S3, Spark, DigitalOcean, etc.

Create and use advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Analyze data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Work with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Visualize/present data for stakeholders using: Microsoft Power BI, Periscope, Business Objects, D3, ggplot, etc.

REQUIRED EDUCATION AND EXPERIENCE

• Minimum Education: Master's degree in Chemical Engineering, Petrochemical Engineering or Petroleum Engineering.

• Minimum Experience: 2 years of process engineering experience in a chemical or petrochemical environment; with at least 2 years of experience using timeseries tools such as SEEQ, natural language processing (NLP), building predictive maintenance machine learning productions and taking them to production, building machine learning solutions with cloud tools (AWS, Azure, Google cloud), and knowledge of applying overall equipment effectiveness (OEE) calculations.

Please apply online at: https://www.ascendmaterials.com/work/

Skills Summary:

About Us:

Ascend Performance Materials is the premium provider of high quality chemicals, fibers and plastics. With world scale integrated manufacturing facilities we are able to develop new products from our core technologies, and provide flexibility to respond to the expanding needs of customers.

Ascend has global sales and distribution facilities across the globe and six manufacturing facilities globally. As a privately-held company, our people do big things and make big decisions, often much earlier in their careers than at larger companies. Ascend Performance Materials offers team members the opportunity to contribute in big, meaningful ways-all within a stable and growing business.

Why work at Ascend?

Our vision is to be the recognized leader in the nylon 6,6 value chain, creating new possibilities with PA66 for everyone, everywhere, every day. We achieve that through living our Ascend values.

We care. We operate safely with high integrity for our employees, our customers and our communities.

Our people are our greatest assets, and our Total Rewards Program extends beyond traditional benefits to include access to on-site medical clinics at our U.S. facilities, a global wellness rewards program and Performance Matters, an employee-driven recognition plan. Our Commitment to Zero demonstrates our belief that is it possible to operate with zero personal injuries, zero process safety incidents and zero environmental releases. And the Ascend Cares Foundation, led by Ascend employees, supports Ascend families in times of need, provides inspiring opportunities for community engagement and facilitates community leadership.

Customer-focused. We exist for our customers; they drive our actions.

Their success is our success. Our plastics and chemicals are building blocks that help make everyday essentials safer and more sustainable, and we constantly strive to develop new and innovative products to meet the future needs of our customers.

And that customer focus doesn't only apply to the marketplace - it also applies to how we treat our colleagues and our fellow community members.

Better every day. We invest in our people and our processes to improve every day.

A2E, our continuous improvement program, guides the way we do business. And this way of problem solving applies not only to our manufacturing practices but also to our commitment to developing our people. You'll see it during your career at Ascend in our leadership development, skills training and mentoring programs

Agile. We think broadly and lead proactively in a constantly evolving organization and industry. Agility doesn't mean simply working quickly - it means critical thinking, creative problem solving and novel approaches to everyday challenges.

One Ascend. All together, with a common set of goals and an eye toward the future.

We don't accept silos. We look for ways to share across departments, sites and geography. This means you won't be boxed into a single role at Ascend - you could get the chance to work with teams across the globe to improve the way we serve our people, our customers and our communities.

All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws.