Data Scientist

data science, machine learning, Python, R, Julia, cloud, Azure, deep learning, Tensorflow, PyTorch, MXNet, data, Algorithms, Predictive analytics, Statistics, Use cases, Optimization, Performance improvement, Software development, Supply chain management, Warehouse, analytics
Full Time
Depends on Experience
Work from home available Travel required to 10%.

Job Description

Data Scientist

As the Data Scientist at Lucas Systems, you are at the forefront of innovation. Always challenging the status quo, your team is discovering new techniques to capture and transform data to inform, optimize and disrupt a rapidly changing and expanding industry. Our cross-functional team of experts know the only constant is change…and that excites them!

As a member of Lucas’ Machine Learning and Optimization team, you will work in collaboration with some of the brightest, most talented software engineers in Pittsburgh. You’ll enjoy knowing that your team is making a recognizable impact to the growth of a profitable, established but entrepreneurial, software solutions company. Your primary focus will be in building cutting-edge analytics and data science solutions, performing statistical analysis, and building high quality prediction systems integrated with our suite of products. You’ll help build applications that can be productized for the market as part of the entire Lucas platform and experience.


  • Hands-on development of algorithms, building predictive analytics, applying machine learning, and using the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help Lucas’ customers make informed decisions
  • Building scalable and reusable data science components, maintaining and evolving models, and tracking overall performance
  • Actively engaging with domain experts and customers to understand the challenges that exist within the Supply Chain/Warehousing and Distribution space
  • Working with product development team members to bring high integrity, analytic solutions that align with organizational and revenue goals to market
  • Being the resident advisor to cross-functional teams with regard to analysis, insights and statistical methodologies. Clearly articulating the same to a wider audience as well (e.g., presenting at trade shows, writing white papers and blogs, etc.)


  • MS or PhD in Statistics, Applied Math, Data Science, Machine Learning, Computer Science, or equivalent in a related discipline
  • 0-2 years of experience developing machine learning models
  • Hands on experience with the following programming languages (Python, R, Julia)
  • Exposure to cloud-based solutions (preferably Azure)
  • Exposure to one of the major deep learning frameworks (Tensorflow, PyTorch, MXNet)
  • Biased toward action. Do what it takes to ramp up and solve problems quickly. Ability to synthesize large amounts of data to make informed decisions and act on them
  • Excellent verbal and written communication skills. Ability to clearly and concisely articulate complex ideas to various groups.
  • Commitment to producing high quality, well-designed and flexible solutions

Additional Valued Experience

  • Additional programming languages
  • Experience with customer interaction to discuss requirements and use cases


About Us

Lucas Systems helps companies transform their distribution center operations and continuously adapt to changing market dynamics. We dramatically increase worker productivity, operational agility, accuracy, and reduce the need for labor. Lucas solutions are built on 23-plus years of deep process expertise and smart software using AI-based optimization technologies. Our solutions feature Jennifer, the brain, voice, and orchestration engine that drives performance improvement gains. We help customers make the smartest moves at the lowest cost with Jennifer.

Founded in 1998, Lucas is a growing and consistently profitable organization with an expanding global customer base and offices in North America and Europe. We offer a dynamic, collaborative, innovative and entrepreneurial work environment that continues to create opportunities for both personal and professional growth for high-performing individuals throughout the United States and Europe.

Our culture has been as carefully managed as our growth and our products. We believe in what we do, as much as we believe in each other. We believe in rewarding great thinking and initiative. We attract high-quality people who like to work hard, and they stay with us for many years.

Dice Id : 10121577
Position Id : DSMay21
Originally Posted : 2 months ago
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