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DATE ADDED: Tue 12/11/2019

Machine Learning Engineer - Python, NLP

Pittsburgh, PA, US


JOB TYPE: Permanent, FullTime

Minimum Required Skills:
Data Science, Python, Tensorflow, Keras, Apache Beam, SPARK, Hadoop, Mapreduce, Machine Learning

If you are a Machine Learning Engineer with Python & NLP experience, please read on!

Title: Machine Learning Engineer - Python, Natural Language Processing (NLP)
Location: Pittsburgh - East Liberty Neighborhood
Salary: $120K - $160K+ DOE

Our company empowers America's defense leaders by providing decision-grade information through our purpose-built data science and analytics platform. Leveraging our database of record, we apply machine driven processes and proprietary algorithms to answer vexing questions and advance the national defense strategy. With our HQ in Arlington, Virginia, we are now in the process of establishing our next location in Pittsburgh, Pennsylvania.

Top Reasons to Work with Us

- Competitive Compensation ($120K - $160K+ base salary DOE) plus equity!
- Work for a VC-backed Big Data startup with a great upside potential
- Join a company with a distinguished Board of Directors - including 2 esteemed Google engineering execs!
- Work with multiple cutting-edge Big Data open source technologies
- Job Satisfaction - Opportunity to join the core team at a pivotal growth stage and influence the company's future!

What You Will Be Doing

We are seeking an inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions.

Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data-driven research across our company, and lead new areas to apply advanced analytics to drive business results.

- Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms
- Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems
- Make strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of data industry best practices
- Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases
- Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the our SaaS platform
- Optimize processes for maximum speed, performance and accuracy; craft clean, testable, and maintainable code
- Partner with our internal business analysts and external client teams to seek out the best solutions regarding data-driven problem solving
- Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data and QA engineers

What You Need for this Position

At Least 3+ Years of experience and knowledge of:


- Machine Learning experience
- Python
- Natural Language Processing (NLP)
- AWS / cloud infrastructure experience
- Prior hands-on experience working with data-driven analytics
- Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
- Experience working on agile/scrum teams

- Tensorflow, Keras or similar open source machine learning algorithm experience
- Apache Beam, Speak or similar Big Data engineering experience
- Hadoop, MapReduce or other big data frameworks, Java, and/or statistical modeling such as SAS or R
- Familiarity with Git source control management

What's In It for You

- Competitive Compensation ($120K - $160K+ base DOE)
- We pay for 100% of employee premiums and 90% of dependent premiums (currently under a BCBS plan but switching to United Healthcare as of December 1st)
- Vision, dental, STD, LTD, AD&D and life insurance
- Unlimited/flexible PTO policy
- Casual work environment - jeans casual!
- 401k with company match
- Equity!So, if you are a Machine Learning Engineer with Python & NLP experience, please apply today! or send an updated copy of your resume to #removed# for immediate consideration!

Applicants must be authorized to work in the U.S.Please apply directly to by clicking 'Click Here to Apply' with your Word resume!

Looking forward to receiving your resume and going over the position in more detail with you.

- Not a fit for this position? Click the link at the bottom of this email to search all of our open positions.

Looking forward to receiving your resume!


CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work - In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

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