marketing data and analytics senior manager

data scientist

senior data engineer

data analyst

marketing data and analytics senior manager Jobs in Washington

senior data scientist

analytical data scientist

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
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 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Demonstrated proficiency in related technical, statistical, and mathematical skills
 </li>
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 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

Data Scientist

Guidehouse

<div>Job Family:
Data Science Consulting 
Travel Required:
Up to 10% 
Clearance Required:
Active Top Secret (TS)
What You Will Do:
Guidehouse is seeking a Cleared Data Scientist/Analyst to join our Defense and Security Segment AI &amp; Data Practice. In this role, you will collect, transform, integrate, and analyze data to identify trends, assess performance, and develop visualizations that support mission and organizational goals. You will play a key role in enabling data‑driven decision‑making for financial management operations and reporting processes within the FBI.
Responsibilities include:<ul><li>
Accessing and integrating data from multiple sources, establishing data connections, and preparing data for analysis</li><li>
Defining data requirements and ensuring data storage, availability, and quality meet organizational needs</li><li>
Designing data models, building algorithms and predictive models, and conducting exploratory analyses using advanced analytics and machine learning</li><li>
Supporting analytical workstreams to identify key indicators of compliance, performance, and mission success</li><li>
Designing and delivering dashboards and data visualization solutions that provide actionable insights and business intelligence</li><li>
Supporting client delivery while contributing to business development, internal initiatives, and ongoing professional growth</li></ul> 
What You Will Need:<ul><li>
US Citizenship required.</li><li>
An ACTIVE and MAINTAINED &quot;TOP SECRET&quot; Federal or DoD security clearance.</li><li>
Bachelor's degree obtained.</li><li>
2+ years of professional data analytics experience supporting data management, analysis, and/or tool development</li><li>
Demonstrated experience with Power Platform tools such as Power Apps, Power Automate, Copilot Studio, Dynamics, and/or Dataverse</li><li>
Demonstrated experience developing tools and solutions using standard data analytic tools such as SQL, Python and/or PowerBI.</li><li>
Proficient using MS Office Suite.</li><li>
Strong communication, organizational, and problem-solving skills</li></ul> 
What Would Be Nice To Have:<ul><li>
Prior experience with statistical modeling around accruals or other federal financial/budgetary process areas.</li><li>
B.S./B.A. obtained in a quantitative field, such as data science, statistics, math, engineering, economics, or quantitative finance</li><li>
Prior experience supporting federal clients in financial operations, reporting, internal controls, or risk management.</li><li>
Knowledge of and/or experience supporting Federal OCFO concerns, such as compliance, risk, audit, internal controls, data quality, system data reconciliation, budget, reporting, business processes improvement.</li></ul>
The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:<ul><li>
Medical, Rx, Dental &amp; Vision Insurance</li><li>
Personal and Family Sick Time &amp; Company Paid Holidays</li><li>
Position may be eligible for a discretionary variable incentive bonus</li><li>
Parental Leave and Adoption Assistance</li><li>
401(k) Retirement Plan</li><li>
Basic Life &amp; Supplemental Life</li><li>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</li><li>
Short-Term &amp; Long-Term Disability</li><li>
Student Loan PayDown</li><li>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</li><li>
Skills Development &amp; Certifications</li><li>
Employee Referral Program</li><li>
Corporate Sponsored Events &amp; Community Outreach</li><li>
Emergency Back-Up Childcare Program</li><li>
Mobility Stipend</li></ul>
About Guidehouse
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</div>

Data Scientist (Analytics & Automation)

HiddenLayer

<div>Data Scientist

Remote [within the US]

ABOUT THE ROLE:

We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and LLM-powered systems that sit at the core of our security products &mdash; the pieces that make the difference between a tool that flags noise and one that helps defenders find what matters.

This is a hands-on role on a small, focused team. You'll have real ownership over the models and pipelines you build, close collaboration with engineering and product, and the runway to go deep on the hard problems.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

Security is a domain where the adversary is adaptive, the signal is rare, and the cost of a miss is real. That makes for interesting modeling problems &mdash; ones where off-the-shelf approaches rarely carry you the whole way, and where careful research, solid experimentation, and production rigor each matter for our success.

Your work will span a few areas:
<ul>
<li>Model development and research. Building classifiers, detectors, and scoring models on messy, high-stakes security data. Designing experiments, evaluating trade-offs, and iterating on architectures &mdash; not just hyperparameters.</li>
<li>LLM agent systems. Shaping the prompts, context, tool-use patterns, and supporting content that drive our LLM agents.</li>
<li>Production delivery. Shipping models behind real traffic, monitoring them, and improving them over time.</li>
<li>Evaluation and iteration. Building the evaluation harnesses and feedback loops that let us know whether a change is actually an improvement &mdash; often the hardest part of the work. Our models only improve for customers when our evaluations highlight what really matters.</li>
</ul>
WHO YOU ARE:

Production experience is the single most important thing. We'd like to see around 3&ndash;4+ years of experience delivering models into production environments where they've had to perform, be maintained, and evolve. That's the background that tends to set people up for success here.

Beyond that:
<ul>
<li>Depth in ML fundamentals. You understand model architectures and can reason about why a given approach is or isn't a good fit for a problem. You've moved well past treating models as black boxes and past tuning that stops at sample weights and decision thresholds.</li>
<li>Willingness to experiment. You're comfortable trying genuinely novel approaches when the standard playbook runs out, and you can tell the difference between a promising result and a fragile one.</li>
<li>Strong engineering instincts. Your code is something teammates can read, extend, and trust in production. You think about reproducibility, testing, and handoff &mdash; not just whether something runs on your laptop.</li>
<li>Experience with LLMs in practice. You've worked with LLM-based systems in some real capacity &mdash; prompting, context design, tool use, evaluation, or fine-tuning &mdash; and have opinions shaped by actually shipping things.</li>
<li>Comfort with ambiguity. Security problems rarely come with clean labels or clean data. You're able to frame problems, scope them, and make progress without a fully paved path. You'll help highlight ambiguity and reason about how to make progress even when humans don't all agree on one single answer.</li>
<li>An advanced degree (MS or PhD) in a technical discipline. This doesn't have to be in data science or ML specifically &mdash; strong backgrounds in CS, statistics, physics, math, engineering, and related fields are all welcome. Your on-the-job experience is what matters the most.</li>
</ul>
We want to be upfront about research and publications: while we're supportive of engagement with the broader research community, our team's focus is firmly on shipping. Publishing papers and attending conferences can absolutely happen, but they aren't the center of gravity of the role. If your primary goal is academic output, this probably isn't the best fit &mdash; and we'd rather say that clearly than have it be a surprise.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:
<ul>
<li>Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.</li>
<li>Comprehensive Health &amp; Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.</li>
<li>Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.</li>
<li>Commitment to Learning and Development: We support personal growth and education through a dedicated L&amp;D fund that can be used for training, conferences, certifications and industry events.</li>
<li>Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.</li>
</ul>
To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.</div>

US Office of General Counsel

Supervisory Operations Research Analyst (Data Scientist)

IFG - International Financial Group

<div>
 
 Summary:
 
 
 This is a Marketing Data Science role. Marketing analytics experience required.
 
 
 
 
 
 Measure what actually drives player acquisition, reactivation, and long-term value across marketing channels. This role will own campaign post-mortems, attribution modeling, and marketing funnel analysis &mdash; connecting upstream spend and impressions to downstream engagement and monetization outcomes. You will partner with Growth Marketing and Finance to inform budget decisions and build the measurement frameworks that scale (AAA Gaming studio) marketing effectiveness. The ideal candidate blends analytical rigor with marketing intuition and can translate complex attribution results into clear recommendations for non-technical stakeholders.
 
 
 
 
 
 Job Responsibilities:
 
 
 &bull; Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage, and analysis strategies
 
 
 &bull; Write and code logical and physical database descriptions and specify identifiers of database to the management system or direct others in coding descriptions
 
 
 &bull; Design, implement, automate and maintain large scale enterprise data ETL processes
 
 
 &bull; Modify existing databases and database management systems and/or direct programmers and analysts to make changes
 
 
 &bull; Test programs or databases, correct errors and make necessary modifications
 
 
 
 
 
 Qualifications:
 
 
 &bull; Bachelor's degree in a technical field such as computer science, computer engineering or related field required
 
 
 &bull; 8-10 years applicable experience required
 
 
 &bull; Experience with database technologies
 
 
 &bull; Knowledge of the ETL process
 
 
 &bull; Knowledge of at least one scripting language
 
 
 &bull; Strong written and oral communication skills
 
 
 &bull; Strong troubleshooting and problem solving skills
 
 
 &bull; Demonstrated history of success
 
 
 Desire to be working with data and helping businesses make better data driven decisionsth Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
 
 
 
 
 
 
 Salary Range:
 
 The salary for this position is between USD $185000 - $195000 annually. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
 
 
 
 
 
 Don't forget to share your resume with me at aayushmaan@ifgpr.com or here. Let's unlock your potential together!
 
 
 
 
 
 Also, do let me know the best time/number to connect with you at your earliest convenience
 
 
 
</div>

UPMC

<div><div>UPMC Washington is looking for a Medical Lab Scientist OR a Medical Lab Technician OR a Lab Support Tech to join our team of excellent laboratory professionals in our Microbiology department!
As part of our team, you will have the opportunity to work in a collaborative environment that values innovation, respect and teamwork. Join us in providing exceptional care to our patients while furthering your career in a supportive setting. Along with an exciting role, we are happy to offer professional growth opportunities as well as a robust Total Rewards package to help you achieve your goals because we believe you&rsquo;re at your best when receiving the support you need in all areas of life: professional, personal, financial, and more. Apply today &amp; start your career in Life Changing Medicine with UPMC!
UPMC offers a robust Laboratory Career Ladder, where candidates will be placed into the correct level and status based on education and background; Lab Support Technician (min= $19.80) Medical Laboratory Technician (min= $24.81) or Medical Laboratory Scientist (min= $28.90) and so on!
Sign On Bonus Information:
Medical Laboratory Scientist (MLS ): $15,000 with a 2-year commitment 
Medical Lab Technician (MLT): $10,000 with a 2-year commitment
MLT/MLS Responsibilities:<ul><li> Interact with all laboratory customers courteously and professionally; respond to telephone inquiries in a timely manner.</li><li> Adhere to established laboratory and hospital policies in areas of procedures, methods, quality control, quality assurance, safety, compliance, and personnel policies.</li><li> Follow established procedures for the collection (including phlebotomy, as required) and processing of specimens for analysis including the appropriateness and stability of the sample.</li><li> Perform qualitative and quantitative analytical procedures according to established protocols with precision and accuracy in a timely and efficient manner.</li><li> Recognize critical, abnormal, and unacceptable test results and follow-up according to established protocols.</li><li> Recognize factors that affect measurements and results and initiate the necessary corrective action according to established protocols.</li><li> Maintain in-depth knowledge of techniques, principles, and instruments, their interrelationships and physiological conditions affecting test results.</li><li> Conduct, direct, or assist with test development and methodology/equipment evaluation, selection, and implementation.</li><li> Performs High Complexity Testing (as defined by PA DOH) without direct supervision.</li><li> Assume responsibility for first-line supervision of the section/department temporarily as delegated.</li></ul>
Lab Support Tech Responsibilities:<ul><li>
Prepares specimens at workstations for testing.</li><li>
Includes building worklists, checking specimens for acceptability (clots, QNS), aliquoting specimens, loading/unloading specimens onto instruments.</li><li>
Prepares microscopic slides and plants specimens in microbiologic growth media where required.</li><li>
Prepares and replenishes instrument reagents and consumables as needed.</li><li>
Assists with specimen/slide storage and retrieval.- Checks pending work lists. Investigates and resolves any unprocessed work. - Decontaminates work area, keeping a neat and clean working environment.
</li><li>All duties of a Specimen Processor including: Answers phone inquiries. Investigates specimen status and report disposition. Directs callers to additional resources as needed.- Receives, sorts, prepares and delivers testing-ready specimens for analysis to work areas. - Demonstrates service orientation approach by conveying courtesy, respect, enthusiasm and a positive attitude in work situations.
</li></ul>Preferred Qualifications: MLT/MLS Degree or a Bachelor's degree for the Lab Support Tech role.
Schedule: Rotating days, weekends and holidays. Rotating shifts: 6a-2p, 7a-3p, 230p-1030p, 3p-11p</div><div>
Medical Laboratory Scientist Requirements<ul><li> Bachelor of Science degree from an accredited college/university AND successful completion of a CAHEA accredited Medical Lab Scientist program, OR Bachelor of Science degree from an accredited college/university with a major in biological, chemical, or clinical laboratory science AND ASCP or equivalent categorical or MLT certification, OR Bachelor of Science degree from an accredited college/university with a major in biological, chemical, physical, or clinical laboratory science AND at least two years&rsquo; experience in a role equivalent to that of a Medical Laboratory Technician (MLT) in a clinical laboratory.</li><li> Prefer 1 year experience in a hospital laboratory.</li><li> Knowledge of medical terminology and laboratory information systems preferred.</li><li> Medical Laboratory Scientist (MLS) (ASCP) or equivalent certification preferred.</li></ul>
Medical Laboratory Technician Requirements<ul><li> Associate&rsquo;s degree in a laboratory science with certification (or eligible new graduate) from an accredited institution as a Medical Laboratory Technician (MLT), OR Bachelor of Science degree from an accredited institution with a major in biological, chemical, physical, or clinical laboratory science, with 6 months of clinical laboratory experience OR equivalent education and experience as defined by CLIA &rsquo;88 for individuals performing high complexity testing.</li><li> Minimum 1-years&rsquo; experience in a hospital laboratory preferred.</li><li> Familiarity with medical terminology and laboratory information systems preferred.</li><li> Medical Laboratory Technician MLT(ASCP) or Clinical Laboratory Assistant (CLA) certification preferred.</li></ul>
Lab Support Tech Requirements<ul><li>
High School diploma or equivalent, and at least 2yrs experience as a Specimen Processor (or equivalent) required in a clinical lab, OR Associate degree (with biology and chemistry courses) and at least 1yr of experience as a Specimen Processor (or equivalent) in a clinical lab, OR Phlebotomy or Medical Assistant certification and 1yr of experience as a Specimen Processor (or equivalent) in a clinical lab, OR Successful completion of a 50wk U.S. military medical laboratory training course, OR B.S. degree from an accredited institution with a major in a biological or clinical laboratory science OR Currently enrolled in a MLS (Medical Laboratory Scientist) or equivalent training program, with 3 yrs college credits required. 
 
Licensure, Certifications, and Clearances: 
</li><li>Medical Laboratory Scientist (MLS) (ASCP) or equivalent certification preferred.</li><li>
New York License required for NY locations.</li><li>
Act 34 
UPMC is an Equal Opportunity Employer/Disability/Veteran</li></ul></div></div>

MLT / MLS / Lab Support Tech - UPMC Washington

Explore 416+ Analytical data scientist in Washington this May. Find roles across top companies and apply now to boost your career.

416 analytical data scientist jobs In Washington

Data Scientist

Data Scientist

Data Scientist (Analytics & Automation)

Data Scientist

Supervisory Operations Research Analyst (Data Scientist)

Data Scientist

MLT / MLS / Lab Support Tech - UPMC Washington