data analyst/data engineer (databricks) Jobs in Washington

data analyst/data engineer (databricks)

senior data scientist

data scientist

Guidehouse

<div>Job Family:
Data Science Consulting 
Travel Required:
Up to 75%+ 
Clearance Required:
Active Secret
What You Will Do:<div>
Our consultants on the Defense &amp; Security AI &amp; Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.</div><div><ul><li>
Belong to a collaborative team dedicated to AI, Advanced Analytics and Intelligent Automation.</li></ul></div><div><ul><li>
Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development in data science, data analytics, and/or data engineering.</li></ul></div><div><ul><li>
Work as a senior data scientist / data analytics / business intelligence professional in collaboration with cross-functional teams.</li></ul></div><div><ul><li>
Continue career development in data science and data analytics software, methods, and consulting.</li></ul></div> 
What You Will Need:<div><ul><li>
An ACTIVE and MAINTAINED &quot;SECRET&quot; Federal or DoD security clearance</li><li>
Bachelor's degree is required</li><li>
Minimum SIX (6) years of relevant professional experience OR 5+ years of relevant professional experience with a relevant M.S./M.A. degree</li><li>
Experience leading advance analytics development efforts and managing the work of more junior data scientists</li><li>
High level of proficiency in Python and Tableau dashboard development</li><li>
Experience building automated data pipelines in Databricks, including cleaning, aggregating, and organizing data from multiple sources</li><li>
Ability to lead and design data modeling processes, algorithms and predictive models, AI use cases, and custom analysis</li><li>
Experience leading data driven analytic activities involving the identification of key indicators for both compliance and effectiveness critical to mission/business success</li><li>
Experience manipulating large data sets and using them to identify trends and reach meaningful conclusions to inform strategic business decisions</li><li>
Ability to define data requirements and ensure storage, availability, and coherence of electronically stored information to guarantee it meets the organization's needs</li><li>
Competency in data mining, including structuring of raw data to formulate or recognize patterns to generate new information and unlock information and insights that help the organization better manage risks</li><li>
Expertise in PowerBI</li><li>
Ability to support on-site and hybrid projects in the DC metro area</li></ul>
What Would Be Nice To Have:<ul><li>
Knowledge of additional coding languages such as R and SQL</li><li>
Proficiency in Excel</li><li>
Competencies in IT Risk and/or Cyber domains</li></ul></div>
The annual salary range for this position is $130,000.00-$216,000.00. 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>

Senior Data Scientist

Capgemini

<div>About the job you&rsquo;re considering
Data Analyst specializing in SQL and Databricks responsible for extracting, transforming, and analyzing data to derive business insights within the Databricks Data Intelligence Platform. This role leverages SQL for querying and manipulating data and utilizes Databricks' features for data management, analysis/ Any experience with Tableau is a plus.
Your role
<ul><li>Writing and executing complex SQL queries to extract data from various sources within the Databricks Lakehouse.
</li><li>Transforming raw data into suitable formats for analysis using SQL and Databricks features like Delta Lake.
</li><li>Importing and ingesting data into Databricks
</li><li>Performing ad-hoc and exploratory data analysis using Databricks SQL and the SQL Editor.
</li><li>Create dashboards within Databricks SQL to present findings and communicate insights to stakeholders.
</li><li>Utilize Tableau as required.
</li><li>Understanding and utilizing Unity Catalog for data discovery, governance, access control, and lineage tracking.
</li><li>Managing data objects, tables, and views within the Databricks environment.
</li><li>Ensuring data quality and reliability throughout the analysis process. 
</li></ul>Your skills and experience
<ul><li>SQL
</li><li>Python and Pyspark
</li><li>Databricks (Unity Catalog)
</li>Tableau and Power BI 
<li>
</li></ul>Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
<ul><li>Flexible work
</li><li>Healthcare including dental, vision, mental health, and well-being programs
</li><li>Financial well-being programs such as 401(k) and Employee Share Ownership Plan
</li><li>Paid time off and paid holidays
</li><li>Paid parental leave
</li><li>Family building benefits like adoption assistance, surrogacy, and cryopreservation
</li><li>Social well-being benefits like subsidized back-up child/elder care and tutoring
</li><li>Mentoring, coaching and learning programs
</li><li>Employee Resource Groups
</li><li>Disaster Relief
</li></ul>About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
 
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
Get the future you want | www.capgemini.com
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. 
 
 
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100,000 - $120,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</div>

Data Analyst/Data Engineer (Databricks)

TQI Solutions

<div>TQI Solutions seeks proactive, visionary thought leaders to drive impactful solutions for clients. We value our team, offering work-life balance, excellent benefits, and career growth. Join us and immerse yourself in a rewarding experience like no other.

We are currently seeking a Data Analyst to join our DTO team located in Washington, DC. This position offers an exciting opportunity to contribute your expertise to our dynamic organization and support high-visibility data initiatives within the Department of the Navy. This position does offer the opportunity for Hybrid work.

Responsibilities:
<ul><li>Support agile software development for dashboard visualizations and data-driven decision-making.</li></ul>
<ul><li>Engage with users to gather requirements, estimate work efforts, design, code, and test dashboards, and conduct database queries.</li></ul>
<ul><li>Translate complex functional requirements and user needs into clear technical specifications; collaborate with cross-functional teams to implement solutions.</li></ul>
<ul><li>Utilize Python and SQL to run queries, perform statistical analysis, and execute advanced analytics activities within Databricks.</li></ul>
<ul><li>Develop and maintain data models integrating multiple data sources to ensure efficient reporting and visualization.</li></ul>

This is an onsite position with the potential for partial hybrid schedules. This position is full-time, salaried, and exempt.

This position requires candidates to be United States citizens, exclusively due to the mandated security clearance requirements associated with our federal contract.

Qualifications:
<ul><li>Experience gathering requirements, managing stakeholders, and working with government systems.</li></ul>
<ul><li>Minimum of 2 years of experience with data visualization software such as Tableau or Power BI, including data load editor functionality.</li></ul>
<ul><li>Minimum of 2 years of experience with SQL and Python, with demonstrated ability to write and interpret queries and scripts.</li></ul>
<ul><li>Familiarity with data engineering and data architecture principles, including ETL processes and data model creation for optimized performance.</li></ul>
<ul><li>Experience leading technical reviews with clients and stakeholders.</li></ul>
<ul><li>Strong analytical, research, and problem-solving skills.</li></ul>
<ul><li>Experience in front-end development preferred.</li></ul>
<ul><li>Proficiency in data science and visualization tools (e.g., Qlik, Tableau).</li></ul>
<ul><li>Experience with user interface design, Databricks, and Trifacta.</li></ul>
<ul><li>Strong attention to detail, effective time management, and reliable follow-through.</li></ul>
<ul><li>Excellent written and verbal communication skills, including presentation experience.</li></ul>
<ul><li>Proficiency in Microsoft Office applications.</li></ul>

The incumbent of this position will be subject to a background investigation and will be required to maintain a Government granted security clearance.

TQI Solutions, Inc. is a Service-Disabled Veteran-Owned Small Business with staff located in VA, MD, DC, NC, HI, and CA. We provide Mission and IT Support Services to a wide range of DoD clients. At TQI Solutions, our aim is to surpass customer expectations through results-oriented services and solutions that ensure mission success. We take pride in fully embracing our clients' missions as our own and consistently delivering world-class technical solutions. Our team comprises dedicated problem solvers who prioritize building lasting and mutually trusting relationships with our customers.

TQI Solutions is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, disability, or veteran status.</div>

Qlik Developer / Data Analyst

Workshop Digital

<div>This is a hybrid position located in Richmond, VA.
Who We Are
Workshop Digital is a results-oriented digital marketing agency based in Richmond, Virginia, committed to building strong, lasting partnerships with our clients. For over a decade, we&rsquo;ve championed transparency and collaboration to deliver measurable results that help businesses grow. 
We act as an extension of our clients&rsquo; marketing teams, developing customized digital marketing strategies aligned with their unique goals and services. 
Our team of experienced digital marketing analysts works side-by-side with clients to gain a deeper understanding of their business, industry, and competitors. By identifying ideal target audiences and uncovering what sets our clients apart, we help their brands stand out and achieve meaningful, measurable impact. 
About the Role
As a Senior Marketing Data Analyst at Workshop Digital, you&rsquo;ll turn complex data into clear, actionable insights that drive smarter marketing decisions for our clients. You&rsquo;re a natural problem-solver who thrives at the intersection of analytics know-how, marketing insights, and client partnership. 
In this role, you&rsquo;ll own the analytics strategy for key accounts, shape the direction of our growing Analytics Department, and collaborate across teams to elevate how we use data to drive results. 
Data tells a story, and you know how to make it sing. 
Responsibilities
Analytics Strategy &amp; Execution<ul><li>
Build and optimize end-to-end analytics ecosystems across platforms like GA4, Adobe Analytics, and Google Tag Manager.</li><li>
Audit, configure, and troubleshoot tracking implementations to ensure clean, reliable data.</li><li>
Create powerful dashboards and visualizations that connect marketing performance to business outcomes.</li><li>
Leverage APIs to consolidate and blend multiple data sources to tell a unified performance story.</li><li>
Develop measurement frameworks tied directly to client goals and KPIs.</li><li>
Use attribution modeling and cross-channel analysis to uncover what&rsquo;s really driving results.</li><li>
Stay ahead of emerging analytics trends, tools, and best practices, and share that knowledge internally and with clients.</li></ul>
Client Partnership &amp; Insights<ul><li>
Lead the analytics conversation in client meetings, bringing clarity, confidence, and storytelling to the data.</li><li>
Proactively identify opportunities, risks, and growth insights that strengthen client strategies.</li><li>
Build lasting client relationships through trust, transparency, and consistent results.</li><li>
Collaborate with SEO and paid media teams to break down silos and deliver cohesive, insight-driven recommendations.</li><li>
Translate complex analytics concepts into clear, actionable business insights for clients at every level.</li></ul>
Team Leadership &amp; Collaboration<ul><li>
Partner with leadership to refine analytics processes and shape the future of Workshop Digital&rsquo;s analytics offering.</li><li>
Coach and mentor teammates on analytics tools, data interpretation, and client communication.</li><li>
Support cross-department projects that integrate data insights into broader marketing strategies.</li><li>
Ensure quality, accuracy, and consistency across analytics deliverables.</li></ul>
Business Development &amp; Innovation<ul><li>
Support new business efforts by providing analytics expertise for proposals, audits, and client pitches.</li><li>
Identify opportunities to expand analytics service offerings and client capabilities.</li><li>
Develop case studies and thought leadership pieces that showcase Workshop Digital&rsquo;s analytics impact.</li></ul>
Learning &amp; Thought Leadership<ul><li>
Contribute to analytics training initiatives and help upskill internal teams.</li><li>
Stay current with industry shifts, new tools, and measurement techniques.</li><li>
Share your expertise through internal presentations, team trainings, and blog contributions.</li></ul> 
What You'll Bring<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Economics, or a related field preferred.</li><li>
3&ndash;5 years of hands-on experience in digital marketing analytics or data analysis.</li><li>
Proven experience with:</li><li><div><ul><li>
Google Analytics 4 (GA4) configuration, event setup, and reporting</li><li>
Google Tag Manager (GTM) and pixel tracking</li><li>
Data visualization tools like Looker Studio, Tableau, Power BI, Excel/Sheets</li><li>
Funnel.io and paid media integrations (Google Ads, Bing, Paid Social)</li><li>
CRMs such as HubSpot or Salesforce</li><li>
Call tracking with CallRail</li><li>
Data manipulation or modeling using Python or R</li></ul></div></li><li>
Exceptional communication and storytelling skills that turn data into insight, and insight into action.</li><li>
A strategic mindset and curiosity to explore how marketing and analytics work together to create business impact.</li><li>
Strong problem-solving skills with a detail-oriented, data-driven mindset.</li><li>
A proactive approach to client service, collaboration, and continuous improvement.</li><li>
A passion for analytics and curiosity to explore emerging trends and technologies.</li></ul> 
Benefits + Four Day Work Week (4DWW)<ul><li>
A real Four Day Work Week (4DWW) policy where 90% of Fridays are off!</li><li>
Competitive salaries</li><li>
Hybrid workspace for Richmonders (only Mondays are required)</li><li>
3 months fully paid Parental Leave</li><li>
8 hours of paid volunteer time per quarter</li><li>
401k with 3% non-elective contributions</li><li>
A comprehensive health benefit package, including 2 medical plans, dental, and vision insurance</li><li>
Life insurance, short-term, and long-term disability</li><li>
Profit sharing</li><li>
2x a year company-wide meetup in Richmond, VA</li><li>
12 days PTO, 5 days STO, 11 holidays</li></ul>
List of Awards<ul><li>
8x Outside Best Places to Work</li><li>
7x Virginia Business Best Places to Work</li><li>
2x Search Engine Land Finalist</li><li>
1x US Search Awards - Best Small PPC Agency</li></ul> 
 Salary<ul><li>
Expected base salary range is $85,000 - $95,000 annually, based on experience</li></ul> 
 Equal Opportunity &amp; Inclusion Statement
As an equity-affirming company, Workshop Digital searches for, encourages, and engages with individuals and groups that represent diversity in our community. We not only challenge discrimination in regard to gender identity and expression, sexual orientation, racial identity, faith identity, age, disability, and social class, but we also consciously make efforts to reach out and include diversity in employment, vendors, and clients. All individuals authorized to work for any employer in the U.S. should apply.</div>

Senior Marketing Data Analyst

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next! 
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible. 
Job Description:
Parsons is looking for an amazingly talented AI/ML Lead Engineer to join our team!
What You'll Be Doing:
<ul><li>Define technical architecture for ML systems (data pipelines, model training/inference, deployment)
</li><li>Select and justify use of specific tools, frameworks, and compute environments (e.g., AWS GovCloud, Azure Gov, on-prem secure clusters)
</li><li>Ensure compliance with federal IT/security standards (FedRAMP, NIST, DoD STIGs, etc.)
</li><li>Lead development of supervised, unsupervised, or reinforcement learning models for mission-specific applications (e.g., predictive analytics, NLP, computer vision, anomaly detection)
</li><li>Ensure explainability and transparency &mdash; important for federal accountability (e.g., use SHAP, LIME, or interpretable ML techniques)
</li><li>Implement bias detection and model fairness checks
</li><li>Oversee or design secure ETL pipelines, data labeling workflows, and data quality processes
</li><li>Handle classified or sensitive data under strict data governance and privacy rules
</li><li>Work with structured/unstructured data from various government sources
</li><li>Lead the buildout of CI/CD for ML models &mdash; containerization (Docker), orchestration (Kubernetes), model versioning, automated retraining
</li><li>Deploy models in secure enclaves or cloud environments that comply with government security posture
</li><li>Monitor production systems and implement performance tracking, drift detection, and retraining triggers
</li></ul>What Required Skills You'll Bring:
<ul><li>Bachelor's Degree in Computer Science, Computer Engineering or a related technical field and 8+ years of experience
</li><li>Proven experience designing, training, and deploying machine learning and deep learning systems at scale
</li><li>Knowledge of classical ML, neural networks, NLP, computer vision, and statistical modeling
</li><li>Ability to choose and justify architectures (transformers, CNNs, LSTMs, etc.) based on mission needs
</li><li>Understanding of AI model interpretability, bias mitigation, and model validation under federal ethics and transparency mandates
</li><li>Deep familiarity with building production-grade ML pipelines (CI/CD, data versioning, automated retraining)
</li><li>Experience with secure cloud (AWS GovCloud, Azure Gov, DoD Cloud IL levels) or on-prem HPC
</li><li>Understanding of containerization, orchestration (Docker/Kubernetes), and infrastructure-as-code (Terraform, Ansible)
</li><li>Expertise in secure data pipelines, ETL, and data quality controls for sensitive or classified datasets
</li><li>Knowledge of metadata management, data cataloging, and data lineage &mdash; crucial for auditability
</li><li>Familiarity with federal data privacy frameworks and compliance (FISMA, FedRAMP, NIST 800-53)
</li><li>Active TS/SCI clearance and be eligible for a Polygraph
</li></ul>What Desired Skills You'll Bring:
<ul><li>Active TS/SCI with Polygraph
</li></ul>Security Clearance Requirement:
An active Top Secret SCI security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what&rsquo;s next to deliver the solutions our customers need now.
Salary Range: $108,700.00 - $190,200.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .</div>

AI/ML Lead Engineer

Invariant LLC

<div>Invariant seeks a Senior Director to join the emerging Data and Analytics team. You will work with the team that turns complex data into competitive insights and actionable results that drive impact for clients.
Our clients range from Fortune 500 companies to the most disruptive startups in the country. We help them solve complex challenges, stay ahead of market trends, understand customer behavior, and navigate competitive landscapes. We use data, research, and analytics to inform strategy, de-risk decisions, and unlock growth.
Invariant is a different kind of firm. We look at data, communications, public affairs, government relations, and business strategy holistically. You will do challenging, impactful work here. If that sounds interesting to you, come join us.
What you&rsquo;ll do<ul><li>
Lead high-profile research and analytics projects: design study frameworks, choose methodologies, gather and analyze data from diverse sources.</li><li>
Conduct market research on clients, consumers, competitors, product trends, and regulatory/policy environments.</li><li>
Continuously research and evaluate the latest AI technologies and methodologies to ensure Invariant stays at the forefront of market intelligence and analytics.</li><li>
Integrate cutting-edge AI tools into media monitoring, data analysis, and strategic reporting to deliver innovative insights that help clients stay ahead of competitors and industry trends.</li><li>
Stay current on industry best practices and market-moving developments.</li><li>
Translate insights into strategic recommendations that help clients refine market positioning, product offerings, go-to-market strategies, and stakeholder engagement.</li><li>
Review and interpret large, complex datasets and convert findings into client-ready memos, reports, action plans, and visualizations.</li><li>
Present findings clearly and convincingly to internal and external audiences.</li><li>
Harness new methodologies, tools, or metrics to improve our research and analytics.</li><li>
Build and maintain trusted relationships with clients by understanding their business goals, anticipating and advising on emerging opportunities and risks.</li><li>
Capture client success stories; feed learning back into practice to continuously improve offerings.</li></ul>
Who you are<ul><li>
8+ years of experience in market research, data analytics, consulting, or a related field, with substantial experience solving strategic business problems.</li><li>
Excellent communicator: strong writing, editing, presentation skills; able to package research findings into compelling stories.</li><li>
Expert in both quantitative and qualitative research methods (surveys, focus groups, competitor benchmarking, sentiment analysis, etc.).</li><li>
Deep proficiency with data analysis and visualization tools: ability to work with large, messy data sets, draw insights, and present them accessibly to nontechnical audiences; and using Brandwatch (or similar media-/social listening platforms) to surface trends, sentiment, competitive intelligence, and content insights.</li><li>
Highly organized, adept at juggling multiple projects and deadlines in a fast-paced environment.</li><li>
Innovative and curious: comfortable challenging assumptions; proactive in designing new tools or processes for better insights.</li></ul>
Salary range is $150,000 &ndash; 225,000 and will be determined based on skills, experience, and market data.
In addition, our total rewards package includes an annual discretionary bonus based on individual performance and that of the firm; commissions; robust medical, dental, and vision plans with employer HSA contributions; generous retirement matching; educational assistance; professional development assistance; unlimited time off; and other benefits.
Invariant is committed to creating a diverse culture and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.</div>

Senior Director, Data and Analytics

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
At Atlassian, we&rsquo;re on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in GenAI products &mdash; intelligent, conversational systems that combine retrieval-augmented generation (RAG), entity / user understanding, semantic search, and agentic interactions to redefine how users discover and interact with information across our ecosystem.
We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional initiative focused on delivering end-to-end GenAI products. This is a rare opportunity to drive innovation at the intersection of modeling, engineering, and product thinking&mdash;turning state-of-the-art LLM capabilities into intuitive, high-value user experiences.
Responsibilities:
<h4 class="jobSectionHeader"> Own End-to-End GenAI Product Development</h4><ul><li>
Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system.</li><li>
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms.</li><li>
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences.</li></ul><h4 class="jobSectionHeader">
 Lead and Grow a High-Performing Team</h4><ul><li>
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists.</li><li>
Foster a culture of E2E ownership &mdash; empowering the team to move from prototype to production quickly and iteratively.</li><li>
Mentor individuals to grow in both technical depth and product acumen.</li></ul><h4 class="jobSectionHeader">
 Drive Strategy and Execution</h4><ul><li>
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian&rsquo;s product suite.</li><li>
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement.</li><li>
Champion data quality, grounding, and responsible AI practices in all deployed features.</li></ul>
Qualifications:
<h3 class="jobSectionHeader">What We're Looking For</h3><h4 class="jobSectionHeader">
&#9989; Experience</h4><ul><li>
8+ years in ML, search, or backend engineering roles, with 3+ years leading teams.</li><li>
Strong track record of shipping ML-powered or LLM-integrated user-facing products.</li><li>
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration).</li><li>
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end.</li></ul><h4 class="jobSectionHeader">
 Skills</h4><ul><li>
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.).</li><li>
Strong product intuition and ability to translate complex tech into valuable user features.</li><li>
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops.</li></ul><h4 class="jobSectionHeader">
 Education</h4><ul><li>
Master&rsquo;s or PhD in Computer Science, Machine Learning, or related field preferred&mdash;or equivalent practical experience.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with front-end or full-stack development for GenAI interfaces.</li><li>
Familiarity with knowledge graphs, semantic embeddings, or search evaluation metrics (e.g., NDCG, precision@k).</li><li>
Passion for AI safety, ethics, and user trust in generative systems.</li></ul><h3 class="jobSectionHeader">
Compensation</h3>
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $232,200 - $303,150
Zone B: $209,700 - $273,775
Zone C: $193,500 - $252,625
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.<h3 class="jobSectionHeader">
Benefits &amp; Perks</h3>
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.<h3 class="jobSectionHeader">
About Atlassian</h3>
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

M60 Senior Machine Learning Manager, Gen AI & Knowledge AI

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