Remote
$140,000 a year - Full-time
Skills
Statistics, Spark, Scala, Regression analysis, R, Power BI, Natural language processing, Machine learning, Kafka, Hadoop, Data science, Data analysis skills, Big data, Azure, Analytics, AI, Research
Data Scientist with advanced analytics experience
InnoVet Health, a small and growing business that provides health IT professional services to the Department of Veterans Affairs (VA) is looking for a Data Scientist with advanced analytics experience who can turn requirements and research questions into reports, clear insights, predictions, and business intelligence. The position offers stimulating advanced analytics activities (AI/ML), in a rich healthcare environment, interacting with senior staff. This position is full-time and does not require relocating (work remotely). The pay, benefits, and growth potential are competitive.
Responsibilities
Collect, elaborate, and manage requirements from VA customers. Actively participate in setting up and managing new studies.
Develop algorithms and/or tools to support data collection and analyze raw data: assessing quality, profiling, cleansing, performing exploratory data analysis.
Design and develop advanced operations research and data science techniques, diagnostic and predictive models and machine learning algorithms (e.g., logistic regression, random forest, decision tree, etc.) using large data sets. Train and evaluate these models using strong statistical knowledge.
Deploy models to operational settings with understanding of the providers workflows
Interpret and present results to providers and business customers
Develop data visualization techniques to articulate findings.
Inform leadership and subordinates on technical tools, methodologies, and resources used for conducting studies and analyzing classified and unclassified information
Lead team in the application of operations research techniques and in-depth knowledge of data science techniques and methodologies such as machine learning, predictive analysis, prescriptive analysis and optimization, and other emerging analytical technique
Plan, forecast, identify, and define major problems and future needs, seeks root causes, develops practical courses of action and timely solutions and identifies opportunities for significant process enhancements and recommended changes
Evaluate the performance of decision systems, models, and tools; involves peers and team members in analyzing strengths and weaknesses in performance, and spearheads pilots and planned functional or technical change initiatives
Manage relationship with VA client
Contribute to InnoVet Health growth activities
Qualifications
BS degree in data science, statistics, or computer/information science or similar area a minimum
6+ years of advanced data analysis (AI/ML) experience
Proven experience in statistics, NLP, AI, and Machine Learning applications
Knowledge of Python, R, Scala, and associated libraries.
Strong experience working with Azure ML, AWS AI/ML, DataBricks, Palantir, SnowFlakes platforms,
Expertise in software/big data tools: Hadoop, Spark, and Kafka
Proficiency in visualization tools (PowerBI, , ggplot, seaborn)
Excellent problem-solving, collaboration and communication (verbal and writing) skills with fluency in MS Office. Passion for continuous learning as data science evolves.
Healthcare, research, and consulting experience preferred
Green card or US citizen required; No visa sponsorship.
Please no 1099 or corp-to-corp or international outsourcing or staffing agencies
Experience:
Data Science: 6 years (Required)
AI/ML using AWS or Azure: 5 years (Required)
Non-academic data science work: 6 years (Required)
healthcare data science: 3 years (Preferred)
Palantir/DataBricks/SnowFlakes: 5 years (Required)
$111,800 - $262,032 a year
Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
Job Summary
Responsible for identifying complex problems and developing novel machine learning algorithms to solve them. Evaluates accuracy and functionality of individual machine learning algorithms and understands the overall implications of entire machine learning frameworks. Responsible for overseeing design, implementation and evaluation of future machine learning based products and applications. Guides engineering teams to successfully deploy and operate machine learning based products and applications. Develops novel ways to solve problems and improve products using machine learning, provide guidance and leadership to other researchers and/or engineers. Acts as a technical expert in own area within the organization. May work independently or as part of a team on more complex projects. Provides mentoring and guidance to more junior team members. May be responsible for leading a team, but does not directly manage people.
Core Responsibilities
Guides the successful completion of high profile, revenue impacting programs that use machine learning as essential components. Determines the technical objectives of an assignment. Leads the design of prototypes, partnering with the product team and other stakeholders through development. Conducts studies to support product or application development. Serves as a leader to others for machine learning technologies.
Designs and develops specifications, technical requirements, algorithms and frameworks of custom machine learning based designs for future products and applications.
Acts as a subject matter expert in designing and prototyping medium to high complexity machine learning models. Lead innovation in technical capability delivery.
Contributes to the realization of cutting-edge technical capabilities into business applications and solutions by being responsible for applying advanced algorithms and techniques to software solutions.
Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Creates patents, Application Programming Interfaces (APIs) and other intellectual property. Presents papers and/or attends conferences, as well as displaying leadership in these areas.
Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.
Represents the work team and organization as the prime technical contact on assigned projects.
Serves as a leader to others on assigned projects. Provides guidance and leadership to more junior engineers.
Consistent exercise of independent judgment and discretion in matters of significance.
Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
Other duties and responsibilities as assigned.
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team - make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Respect and promote inclusion & diversity.
Do what's right for each other, our customers, investors and our communities.
Disclaimer:
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.