Data Scientist

machine learning, ml, data, analysis, statistics, modeling, deep learning, algorithms, tensorflow, caffe, theano, torch, cntk, mxnet, cnns, rnns, lstms, aws, python, r, sql, no-sql, docker, kubernetes
Full Time
Depends on Experience
Travel required to 10%.

Job Description

Data Scientist

Would you like to collaborate with some of the brightest, most talented software engineers in Pittsburgh AND make a recognizable impact in a profitable, established and growing software solutions company? As a member of Lucas’ Product Development Team, you could be doing just that!

We are looking for Data Scientists that will help us discover the information hidden in vast amounts of data collected from Lucas products and help our customers make smarter decisions. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

The Data Scientist will be responsible for:

  • Using data science techniques and tools to explore and create solutions that can be incorporated into Lucas products.
  • Working with domain experts and customers to understand the challenges in the Supply Chain problem space.
  • Working with product development teams to bring solutions to market.

Requirements:

  • MS or PhD in Computer Science, Data Science, or related field.
  • 5+ years of production level experience in developing deep learning algorithms and technologies.
  • Experience with at least one major deep learning framework (TensorFlow, Caffe, Theano, Torch, CNTK, MxNet).
  • Strong knowledge of deep learning theory (CNNs, RNNs, LSTMs, etc.).
  • Strong Python programming experience.
  • Hands on experience with statistical modeling and machine learning software (Python statistical and ML libraries, R, etc.).
  • Experience with database technologies and modeling (e.g. SQL, no-SQL, graph databases).
  • Experience with cloud-based solutions (preferably AWS).
  • Experience with containerized solutions (Docker/Kubernetes)
  • Strong problem solving skills and ability to learn quickly.
  • Being up-to-date on trends and developments in deep learning.
  • Proven ability to work both independently and in team-based environment.
  • Commitment to producing high quality, well-designed and flexible solutions.
  • Solid troubleshooting, analytical, and organizational skills with attention to detail.
  • Excellent verbal and written communication skills.

Additional Valued Experience:

  • Additional programming languages.
  • Experience with Warehouse Management Systems (WMS) or other supply chain software solutions.
  • Experience with FoundationDB.
  • Experience with customer interaction to discuss requirements and use cases.

About Us:

Lucas Systems is the fastest-growing provider of mobile work execution solutions that enable retailers, wholesale distributors, and manufacturers to improve warehouse operations. Our software products provide a rapid return on investment for our customers by helping workers do their jobs more efficiently and accurately using real-time speech recognition software and other data capture technology running on mobile devices. Lucas software is used by Fortune 50 companies, large private distributors, and other industry leaders. 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.

Generous benefit package includes:  Medical, Dental, Vision, and Life Insurance; 401(k) with Employer Match; Ten Paid Holidays; Free Parking; State-of-the-Art, Brand New Office Building and Furnishings; Flexible Work Hours; Casual Work Attire; Foosball, Bubble Hockey, Ping Pong, Pool Table, Chess, Catered Lunches & more; Bonus for Employee-Referred Hire

Location: Wexford, PA

 

Posted By

Berni Thomas

150 North Meadows Drive Wexford, PA, 15090

Contact
Dice Id : 10121577
Position Id : Data Sci
Originally Posted : 10 months ago
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