Excella is a leading provider of Agile software development and data and analytics solutions to clients in the federal, commercial and non-profit sectors. We believe that great work leads to great things –- our experts measure success by the positive impact we make on our clients, community, and colleagues. We are growing fast and need passionate, innovative people who love working with technology and are ready to make an impact. Here's what you can expect from us:

• Workplace sites look different for everyone – whether it’s your home or the office, we believe in a flexible work/life balance that supports you regardless of your location. We offer a home office allowance that can be used for home office furniture/equipment, a daily pass for a coworking space, etc. Our commute reimbursement plan has you covered for whether you bike, Metro, or drive to work.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• Excella provides a Workplace Allowance to offset both the costs to maintain a distributed work environment and to enhance your workplace wellness. Excella will reimburse all full-time Excellians for up to $500 in expenses incurred during the calendar year.
• Diversity and inclusion matter. Excella created and continues to support employee led-affinity groups and the Inclusion Diversity Equity Ambassador (IDEA) team, a cross-functional employee-led initiative to continually foster innovation and increase inclusion within Excella.
• We'll invest in your career by providing 3 days of paid professional development every year, including travel and registration fees to attend classes and conferences.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

The data scientist is responsible for developing machine learning models for production grade software that produces predictions or suggestions that address the client’s need. This includes communicating complex analyses in a clear manner to executive level audiences, working with DevOps engineers to ensure high quality delivery, and partnering with data engineers to ensure appropriate use and availability of data.

Responsibilities

• Working with client, DevOps engineers, and data engineers to deploy machine learning models in a production environment that addresses the client’s need.
• Leveraging AI/ML for uses cases such as natural language processing, fraud detection, anomaly detection, and network analytics
• Implementing and optimizing appropriate techniques such as text embedding, topic modeling, language transformation methods, and entity extraction, regression, support vector machines, ensemble models, neural networks, clustering, isolation forests, etc.
• Analyzing structured, semi structured and unstructured
• Validating model performance and tracking over Building robust processes for model updating and versioning.
• Working with DevOps engineers to integrate models into robust
• Working with data engineers to assess data quality and define data processing business rules for cleansing, aggregation, enhancement, and supporting modelling activities.
• Presenting complex results tailored to different audiences (e.g. technical, manager, executive) in a clear and actionable way.
• Working collaboratively as part of an Agile team using frameworks such as Scrum or Kanban

Qualifications

• Bachelors Degree in a quantitative discipline and 2+ years in applied machine learning in Python
• 2+ years experience in one of the following techniques:
  • Regression or classification
  • Natural language processing
  • Clustering or anomaly detection
  • Deep learning
• 2 + years expe