Sr. Data Scientist

Holland, L.P.; University Park (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Holland L.P. in Illinois seeks a senior data scientist to mine and model large datasets, combining company data with third‑party sources to drive product development, marketing optimization, and business strategy.

The role emphasizes building machine learning and deep learning algorithms, developing testing frameworks, and coordinating with cross‑functional teams to deploy models and monitor outcomes. A Master’s in a quantitative field and 10+ years of experience are preferred; strong Python,

Qualifications

• Master’s in Statistics, Mathematics, Computer Science or related field; STEM preferred.
• 10+ years experience manipulating data sets and building statistical models.
• Railroad industry experience is a plus; data science background required.

Responsibilities

• Identify opportunities for leveraging industry data to drive business solutions.
• Extend company data with third party sources when needed.
• Mine and analyze data from company and customer 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.
• Develop machine and deep learning based algorithms that minimizes manual data processing or reporting.
• Develop testing frameworks and test model quality.
• Coordinate with cross-functional teams to implement models and monitor outcomes; develop processes and tools to monitor model performance and data accuracy.

Skills

Python

Statistical modeling

Machine learning

Data analysis

Communication

Education

Master’s in Statistics, Mathematics, Computer Science or related field

Tools

Redshift

S3

Spark

Hadoop

Hive

D3

ggplot

MySQL

SAS

Job description

• Work with stakeholders throughout the company and industry to identify opportunities for leveraging industry data to drive business solutions
• Extending company’s data with third party sources of information when needed
• Mine and analyze data from existing company databases as well as customer databases to drive optimization and improvement of product development, marketing techniques and business strategies, using state-of-the-art methods
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Develop machine and deep learning based algorithms that eliminates or minimizes manual data processing or reporting
• Develop various testing frameworks 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

ESSENTIAL FUNCTIONS

• Work with stakeholders throughout the company and industry to identify opportunities for leveraging industry data to drive business solutions
• Extending company’s data with third party sources of information when needed
• Mine and analyze data from existing company databases as well as customer databases to drive optimization and improvement of product development, marketing techniques and business strategies, using state-of-the‑art methods
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Develop machine and deep learning based algorithms that eliminates or minimizes manual data processing or reporting
• Develop various testing frameworks 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

PHYSICAL REQUIREMENTS

• Ability to lift up to 25 lbs. with or without reasonable accommodation
• Ability to travel up to 30% of the time to customer offices, railroad track testing sites, and on TrackSTAR® testing vehicles
• Ability to walk on rough ground/railroad track, climb vehicle ladders, inclines, and work on vehicle systems in the field or shop

ENVIRONMENTAL CONDITIONS

• Ability to handle typical weather extremes when working in the field
• Willingness to wear PPE (hard hat, safety glasses, hearing protection, steel toed boots) as required
• General office/home environment

QUALIFICATIONS

• Master’s in Statistics, Mathematics, Computer Science or another quantitative field preferred; STEM graduates considered DOE
• 10+ years of experience manipulating data sets and building statistical models
• Railroad Industry experience is a plus
• Is familiar with the following software/tools:
• Coding knowledge and experience with multiple languages, primarily Python
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SQL, SAS, etc.
• Experience using web services: Redshift, S3, Spark, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Strong problem-solving skills with an emphasis on business solutions for our customer base
• Experience working with and creating data architectures
• Ability to communicate technical verbiage to a non-technical audience
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques
• Maintain a valid driver license and abide by our Corporate Fleet Policy
• Ability to successfully complete all pre-employment testing required by Holland L.P

Disclaimer

This job description is not intended to be an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Management reserves the right to revise this job description at any time to add or remove tasks as circumstances change, (e.g. emergencies, changes in personnel, workload, rush jobs or technical developments).

Wage Type: Salaried Exempt