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Full Time Data Science Engineer Jobs in Washington

We partner with model development and software engineering teams to build predictive models and ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

We partner with model development and software engineering teams to build predictive models and ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

We partner with model development and software engineering teams to build predictive models and ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards, Visualization Certifications: None Experience: 5 + years of related experience US Citizenship ...

New

Design scalable, repeatable analytics and data engineering workflows that support production-ready ... Full-time employees are eligible for: * Medical, dental, and vision insurance * Health Savings ...

Apply advanced knowledge in data science, engineering, psychology, or related technical disciplines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Must have at least 5+ years of experience performing data analytics and data engineering using a various tools such as Tableau or Power BI, while also be experienced using data science languages such ...

Data Science, Computer Science or Computer Engineering * Proficient parsing data in different formats for ML applications * Proficient with Linux shell scripting * Experience using statistical ...

Design scalable, repeatable analytics and data engineering workflows that support production-ready ... Full-time employees are eligible for:Medical, dental, and vision insuranceHealth Savings Account ...

Showing results 41-60

Full Time Data Science Engineer information

What is the difference between Full Time Data Science Engineer vs Data Analyst?

AspectFull Time Data Science EngineerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; programming skills in Python, R; knowledge of machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping models, algorithms, and deploying data solutions in tech or enterprise settingsInterpreting data, creating reports, and supporting decision-making in various industries
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and healthcare sectors

Full Time Data Science Engineers focus on building and deploying machine learning models and advanced data solutions, requiring programming and technical expertise. Data Analysts primarily interpret data, generate reports, and support business decisions with less emphasis on coding or model deployment. Both roles are essential but differ in technical depth and responsibilities.

What job categories do people searching Full Time Data Science Engineer jobs in Washington look for? The top searched job categories for Full Time Data Science Engineer jobs in Washington are:
What cities in Washington are hiring for Full Time Data Science Engineer jobs? Cities in Washington with the most Full Time Data Science Engineer job openings:

Full-time

Re-posted 29 days ago


Job description

Director of Data Science
About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Positions Description
Redhorse Corporation is seeking to hire a Director for our growing Data Science team. The ideal candidate must be able to lead, manage and develop a multi-disciplinary data science team and collaborates with customer stakeholders, business leaders, design teams and infrastructure and software engineers to develop solutions using various types of Artificial Intelligence, including Natural Language Processing and Machine Learning, to enable data-driven decisions, predictions (will happen) and prescriptions (should do). The Director advises corporate leadership on Data Science strategy, methodology, tools, techniques and mission alignment including collaboration with the Director of Solutions Design to create practical methods to understand customer preferences as well as work closely with cross-functional groups to comprehend these challenges, prototype new ideas and new technologies, and help create solutions to drive the next wave of innovation.
The Director of Data Science will:
  • Provide Data Science as a service to internal (corporate) and external customers.
  • Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
  • Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
  • Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
  • Perform or assist in various project management tasks relating to the Data Science portfolio.
Minimum basic requirements for the Director of Data Science include:
  • Master’s Degree in Data Science or related field
  • 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
  • 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
  • 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
  • 2 years of experience leading complex data science projects from conception to execution
  • 2 years of experience building, mentoring and managing teams of data scientists
  • Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
  • Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
  • Experience with software configuration management, methods, and tools including GitHub or Jira
  • Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred Requirements:
  • Ability to lead development efforts utilizing DevOps and Agile Methodologies
  • Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
  • Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
  • Familiarity with metadata extraction technologies such as GROBID and Apache Tika
  • Familiarity with data structures, algorithms, and modular application design
  • Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
  • Ability to learn technical concepts quickly and communicate with multiple functional groups
The work environment for this position requires an individual to be able to:
  • Work sitting or standing at a desk or conference table for extended periods of time with the ability to shift positions while working: sit, stand, pace, adjust positioning in any of those without issue
  • Walk in the office to collaborate with co-workers, attend meetings or retrieve documents from printer
  • Ability to carry up to 10 pounds
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled