Sr. Data Scientist

Themis Insight solves difficult business, IT, and analytic problems by addressing the whole problem – not just the symptoms – using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case.
We are hiring a Sr. Data Scientist to work in Linthicum Heights, MD. Position location is subject to change based on central MD client's needs.

Required: TS/SCI with a Polygraph

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

The Level 3 Data Scientist shall possess the following capabilities:

• Produce data visualizations that provide insight into dataset structure and meaning
• Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)
• Incorporate SME input into feature vectors suitable for analytic development and testing
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
• Develop statistical tests to make data-driven recommendations and decisions
• Develop experiments to collect data or models to simulate data when required data are unavailable
• Develop feature vectors for input into machine learning algorithms
• Identify the most appropriate algorithm for a given dataset and tune input and model parameters
• Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
• Oversee the development of individual analytic efforts and guide team in analytic development process
• Guide analytic development toward solutions that can scale to large datasets
• Partner with software engineers and cloud developers to develop production analytics
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
• Lead a team of data scientists in the development of multiple analytic efforts
• Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
• Guide the transition of prototyped analytics to production system
• Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
• Delegate analysis responsibilities to one or more team members and monitor performance

Individual Capabilities/Experience Required:

• Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Ten years of experience analyzing datasets and developing analytics, and ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience.
• Background in statistical analysis
• Experience with building, tuning, and testing predictive models
• Experience creating analytic charts and dashboards

Individual Capabilities/Experience Desired:

• Elasticsearch
• RegEx
• Machine learning
• Natural Language Processing
• Regression and predictive analysis
• Python
• MATLAB or R
• SQL or Mongodb
• Metric Database (Grafana/Graphite/InfluxDB)

Themis Insight has all the PERKS!

You are our most valuable resource — your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. Themis Insight has you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement.

• Competitive health, dental, and vision plans with 100% paid premiums.
• 401k: We contribute 6% even if you don't!
• Time Off: 11 standard holidays, and 25 days of PTO
• Career Development: Get career counseling and individualized career development plans, including education and training.
• Employee referral bonuses for successful hires

Themis Insight is an Equal Opportunity/Affirmative Action employer.

Themis Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.