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Data Science Microsoft Jobs in Virginia (NOW HIRING)

WSP

Intermediate Professional, Data Science

Herndon, VA · On-site

Perform basic professional data scientist work with identifying the data-analytics problems that ... Proficient with Microsoft Excel. * Proven track record of upholding workplace safety and ability to ...

MI Technical Solutions

Data Scientist

Chesapeake, VA · On-site

$100K - $135K/yr

Requirements: • DoD Secret Clearance • Bachelor's degree in Computer or Data Science • ... with Microsoft Project or other schedule management tools • Minimum of 5 or more years ...

RIVIDIUM

Data Scientist- Senior

Quantico, VA

Manage data science projects from conception through deployment, ensuring timely and high-quality ... Experience working with Microsoft tools , including SharePoint * Strong analytical, problem-solving ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

Manage data science projects from conception through deployment, ensuring timely and high-quality ... Experience working with Microsoft tools , including SharePoint * Strong analytical, problem-solving ...

Cornerstone Defense

Data Scientist

Reston, VA · On-site

... science (e.g., SQL, Python, R, etc.). * Ability to work in a team-oriented environment for a matrixed organization. * Strong knowledge and experience with data reporting tools, including Microsoft ...

Tripoint Solutions LLC

Senior Data Scientist

Arlington, VA · On-site

$100K - $175K/yr

... science or a closely related analytical role. * Hands-on experience with Databricks . * Experience with Microsoft Azure data services and cloud-based analytics platforms. * Practical experience ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge (CCSK) * EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge (CCSK) * EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

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Data Science Microsoft information

What is the difference between Data Science Microsoft vs Data Analyst Microsoft?

AspectData Science MicrosoftData Analyst Microsoft
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's degree in Statistics, Business, or related fields; certifications in data analysis tools are common
Work EnvironmentFocus on developing models, algorithms, and predictive analytics; often involves programming and machine learningFocus on interpreting data, generating reports, and supporting decision-making; involves data visualization and SQL
Employer & Industry UsageUsed across tech companies, finance, healthcare, and consulting firms for advanced analyticsCommon in retail, finance, healthcare, and corporate sectors for business insights

Data Science Microsoft professionals typically develop predictive models and work with machine learning, requiring advanced technical skills. Data Analysts Microsoft focus on analyzing data sets, creating reports, and supporting strategic decisions. Both roles are vital in data-driven organizations but differ in technical complexity and scope.

What are the key skills and qualifications needed to thrive as a Data Scientist at Microsoft, and why are they important?

To thrive as a Data Scientist at Microsoft, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Azure Machine Learning, SQL databases, and version control systems, as well as experience with big data technologies, is typically required. Strong problem-solving abilities, effective communication, and collaboration skills help you present insights to stakeholders and work within cross-functional teams. These skills are crucial for translating complex data into actionable business decisions and driving innovation within Microsoft’s technology-driven environment.

What is a Data Scientist at Microsoft?

A Data Scientist at Microsoft is a professional who uses statistical analysis, machine learning, and data visualization to solve business problems and improve Microsoft’s products and services. They work with large datasets, build predictive models, and collaborate with software engineers, product managers, and other stakeholders. Their tasks may include identifying trends, developing data-driven solutions, and communicating insights to both technical and non-technical audiences.

What are some typical collaboration opportunities for Data Scientists at Microsoft?

Data Scientists at Microsoft frequently collaborate with cross-functional teams including software engineers, product managers, and UX designers. These collaborations are essential for integrating data-driven insights into product development and ensuring that machine learning models are effectively deployed at scale. Team members often participate in regular sprint meetings, brainstorming sessions, and peer reviews. This collaborative environment not only enhances the impact of their work but also provides valuable learning and career growth opportunities.
What are popular job titles related to Data Science Microsoft jobs in Virginia? For Data Science Microsoft jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Microsoft jobs in Virginia look for? The top searched job categories for Data Science Microsoft jobs in Virginia are:
What cities in Virginia are hiring for Data Science Microsoft jobs? Cities in Virginia with the most Data Science Microsoft job openings:
Data Science Microsoft jobs near you
Intermediate Professional, Data Science

Intermediate Professional, Data Science

WSP

Herndon, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

WSP rating

8.5

Company rating: 8.5 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

15th of 58 rated business consultants

Job description


This Opportunity
Provides support to technical staff, engineers, and project managers for collecting, interpreting, publishing, and warehousing of data for project numbers, market research, logistics, aggregation, and extracting meaning. Tasks may include basic assistance with research and providing information and analysis as it applies to finances, productivity, sales, clients, forecasting knowledge, industry behavior and trends, and/or business decisions. Generates accurate and concise reports and documentation regarding assigned project specifications. Ensures that responsibilities are delivered and adhered to with a level of quality that meets or exceeds acceptable industry standards for design, safety, and functionality.
Your Impact
  • With minimal supervision, assist with sourcing, collecting, compiling, and analyzing structured and unstructured data from the field work, surveys, blueprints, spreadsheets, financial reports, computer-generated reports, and other matrices and disparate sources.
  • Perform basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the task or project.
  • Assist with the development of technologies, modeling techniques, load/pricing calculations, new experimental frameworks, and analytical strategies to devise and apply models and algorithms to mine stores of big data, identify patterns and trends, and discover future-ready solutions and opportunities.
  • Work with cross-functional teams in executing project work for internal and external clients, assisting technical staff and project managers with risk identification and assessment, offering input, analysis, and actionable results.
  • Collect and review data throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cleaning, validating, and cross-lingual alignment/mapping, etc.
  • Assist with preparing data, visualizations, and reports summarizing research and specifications with findings and conclusions; generating complete, accurate, and concise documentation using tables, charts, calculations, and illustrations.
  • Assist with the design, development, evaluation, and release of highly innovative models that elevate the customer experience and track impact over time.
  • Triage client requests to ensure project success to include completion in time and for the results to be useful.
  • Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other software to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics.
  • Assist with professional deliverables on projects and business development proposals.
  • Complete training on assigned tasks.
  • Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP's Code of Conduct and related policies and procedures.
  • Perform additional responsibilities as required by business needs.
Who You Are
Required Qualifications
  • Bachelor's Degree in Math, Data Analysis, Accounting, Finance or related field.
  • 1 to 3 years of relevant post education experience working as a data scientist/analyst.
  • Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
  • Familiarity with computer programing databases, coding and testing (e.g. SQL).
  • Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
  • Analytical mindset with an ability to exercise sound judgement in evaluating situations, applying logic, and making decisions.
  • Competent interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
  • Competent self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
  • Ability to work independently with minimal supervision, as well as part of a team to meet business objectives.
  • High level of mathematical acumen.
  • Familiarity with statistics and predictive models.
  • Proficient with Microsoft Excel.
  • Proven track record of upholding workplace safety and ability to abide by WSP's health, safety and drug/alcohol and harassment policies.
  • Ability to work schedules conducive to project-specific requirements that may extend beyond the typical workweek.
  • Occasional travel may be required depending on project-specific requirements.

Preferred Qualifications:
  • Prior experience within the engineering consulting industry is preferred.

About Us
About WSP
WSP USA is the U.S. operating company of WSP, one of the world's leading engineering and professional services firms. Dedicated to serving local communities, we are engineers, planners, technical experts, strategic advisors and construction management professionals. WSP USA designs lasting solutions in the buildings, transportation, energy, water and environment markets. With more than 15,000 employees in over 300 offices across the U.S., we partner with our clients to help communities prosper.
www.wsp.com
WSP provides a flexible and agile workplace model while meeting client needs. Employees are also afforded a comprehensive suite of benefits including medical, dental, vision, disability, life, and retirement savings focused on providing health and financial stability throughout the employee's career.
At WSP, we want to give our employees the challenges they seek to grow their careers and knowledge base. Your daily contributions to your team will be essential in meeting client objectives, goals and challenges. Are you ready to get started?
WSP USA (and all of its U.S. companies) is an Equal Opportunity Employer Race/Age/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disability or Protected Veteran Status.
The selected candidate must be authorized to work in the United States.
NOTICE TO THIRD PARTY AGENCIES:
WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation - no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.

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