ProSphere

Data Scientist

Job Locations US-DC
Posted Date 1 month ago(12/21/2021 11:32 AM)
Job ID
2021-2887

Overview

ProSphere is seeking a Data Scientist to provide services in development of new and enhancement of existing capabilities for information technology systems and applications for the Department of Veterans Affairs. The Data Scientist will lead efforts to expand the data science capabilities of customer’s analytics platform. The individual in this position will have a solid background in production-level machine learning systems with broad exposure to a wide variety of algorithmic techniques. Experience and demonstrable proof of impactful work in areas such as natural language processing, explainability driven deep learning and time-series forecasting is valuable. Our team particularly values experience in building inferential algorithms for high-stake decisions while dealing with noisy, diverse, distributed datasets. Being able to communicate complex concepts in simple language and dashboards, to diverse stakeholders with an unwavering commitment to empathy and customer obsession is highly desired. The candidate will work with the Senior Data Scientist to develop and automate algorithms that integrate with various parts of our customer’s organization, improve customer experience, and drive operational efficiency. The candidate will be able to translate data clearly and dynamically into a coherent and relevant story and into dashboards that will resonate with the customer’s data science initiatives and roadmap. Knowledge and practical work experience with the job functions listed below is highly desirable. This is a full-time remote position. Veterans are encouraged to apply.

Responsibilities

· Build production grade models on large-scale datasets by utilizing sophisticated statistical modeling, machine learning, or data mining techniques

· Subject Matter Expertise in using Python, R, and a vast array of AI/ML libraries to analyze data and build statistical models to solve specific customer problems

· Provide in-depth analyses and insights for strategic and organizational initiatives, while maintaining analytics roadmap to prioritize initiatives, communicate timelines, and ensure successful, timely completion of projects

· Use machine learning techniques, visualizations, statistical analysis, etc. to gain insight into various data sets – some of which are readily available, and some of which you create and curate yourself

· Develop, document and refine Mathematical Risk Algorithms Code and Scripts to measure risk

· Extend conceptual models with business rules to develop logical data models

· Develop and document Analytical Models using statistical analysis, data mining, to create high-level data architecture diagrams that document system and data flows

· Provide guidance and support in the development of information value chain analysis, data quality metrics, and metadata capture

· Evaluate alternatives for integrating legacy data sources with enterprise relational models and strategies for transactional and analytical systems to effectively share data

· Collaborate cross-functionally to identify impactful organizational problems and translate them into structured analyses, measurable insights, and reports and dashboards

· Assist with the development and deployment of analytical tools and develop custom models to observe progress, uncover insights in the data, and automate analyses

· Participate in the full lifecycle of algorithm-based feature development: researching and designing solutions, running tests with clients and performing deep analyses to understand results, implementing scalable solutions in production environments, and monitoring platform-wide impact

· Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques

· Develop/maintain a Data Science Website, analytical models, new applications for business process automation, and provide maintenance and sustainment of all and any developed products deployed into production

· Communicate findings and solutions clearly to a variety of audiences. Create dashboards that tell a story and be able to communicate the story to the government.

· Actively seek out a broad understanding of our customer’s technology platform and products, and align design efforts with that context

· Turn your ideas into actionable designs and deliver solutions to end users. You should be able to persuade stakeholders and champion effective techniques

· Work independently with minimal supervision but high accountability

Qualifications

· Bachelor’s Degree in Computer Science, Data Science, or other relevant technical discipline

· Master’s Degree in Computer Science, Data Science, or other relevant technical discipline Preferred

· Minimum 5 years or more of progressive work experience in Data Science.

· Must have experience with proposing new solutions to problems

· Must be able to work and analyze both independently and as part of a team.

· Experience with Power BI

· Experience in Data Modeling and analytics

· Experience developing Data Science white papers

· Proven ability to develop algorithm logical approaches and user stories

· Development and Deployment of machine learning, algorithm development, exploratory analysis, and automated cleaning using Microsoft Azure Cloud service

 

Benefits of Working at ProSphere:

ProSphere offers full-time employees a competitive total compensation package that includes paid vacation, paid sick leave, paid holidays, and paid military leave. Our insurance benefit plans include options for medical, dental, vision, company paid short-term and long-term disability, and company paid life insurance with options to buy additional life, AD&D, pet insurance, legal services, identity theft, and accident insurance at group negotiated rates. Flexible spending accounts and health saving account options offer pre-tax savings for qualified medical, dental, and vision expenses. The company sponsored 401(k) retirement plan has a matched employer contribution that is immediately vested. ProSphere invests in the professional growth of our employees through professional certifications and tuition reimbursement programs.

 

Equal Employment Opportunity & Affirmative Action Employer:

It is ProSphere’s policy to promote equal employment opportunities. All personnel decision, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits and termination, are made without regard to race, color, religion, age, sex, sexual orientation, pregnancy, gender identity, genetic information, national origin, citizenship status, veteran status, protected veteran status, disability, or any other characteristic protected by applicable federal, state or local law.

 

Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing HR@prosphere.com or by dialing 703-810-3007.

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