associate director data & analytics

AML RightSource

<div>Job Description:
AML RightSource is the leading expert solutions provider of managed services and advisory, dedicated exclusively to financial crime compliance. As financial crime continues to evolve, we help organizations stay ahead through expert-led services and deep industry knowledge.
Specializing in anti-money laundering, financial crime prevention, and third-party compliance, we deliver tailored solutions that enhance operational efficiency and reduce business risk. With a global presence and a team of more than 7,000 specialized, trained professionals, AML RightSource partners closely with clients to transform their compliance programs into strategic advantages.
Our focused expertise and partnership-driven approach ensure adaptable, scalable solutions that meet today&rsquo;s complex regulatory demands. We empower organizations to strengthen compliance, protect their businesses, and confidently navigate an ever-changing financial crime landscape.
About the Position
The Advisory team at AML RightSource is made up of a team of industry and subject matter specialists that provide advisory services specific to financial crime programs, policies, and technology to C-suite-level executives across the world. Our scope of services includes, but is not limited to, program transformation, gap analysis, model validations, policy redesign, system implementation, and model optimization. Our Advisory team aims to help clients build and optimize their financial crime compliance programs by leveraging a technology-enabled approach for some of the world's largest organizations.
As an Associate Director &ndash; Data &amp; Analytics in our Advisory team you will primarily be responsible for leveraging your subject matter expertise and partnering with Financial Crimes Advisory leadership to successfully deliver projects/engagements for clients and execute strategic initiatives designed to grow the Advisory team. You will also oversee the work performed by junior Data &amp; Analytics resources to ensure quality and timely delivery of client deliverables.
As a result, a successful candidate is an experienced professional with deep expertise in AML, Sanctions, and Fraud, inclusive of being knowledgeable about regulations, regulatory guidance and industry best practices in these subject matter areas. They must have had direct ownership of multi-workstream advisory engagements, including client-facing delivery, scope management, and executive-level communication. They must also be experienced in coaching more junior resources to successfully deliver on their responsibilities, all while fostering an inclusive and supportive environment. The ideal candidate will be proactive and able to work autonomously. In addition to client delivery, Associate Directors will be engaged in our sales and marketing efforts, including developing proposals. As a result, a successful candidate will possess strong communication and presentation skills, a strategic mindset, and the ability to collaborate effectively across teams. They should be comfortable engaging with clients and stakeholders, identifying business opportunities, and contributing to the growth of the firm through thought leadership.
Primary Responsibilities
Engagement Delivery<ul><li>
Successfully lead or participate in multiple, sometimes simultaneous, AML, Sanctions and fraud (collectively &quot;financial crimes&quot;) engagements being delivered across the three lines of defense. Projects include but not limited to those focused on model validations, model tunings, data lineage reviews, lookbacks, risk assessments, methodology and procedure review and development, training development and delivery, system implementations, and coverage assessments.</li><li>
On smaller engagements, effectively serve as the lead point of contact (i.e., engagement leader) for engagement teams and clients, providing day-to-day direction to engagement teams and coaching/mentoring to team members.</li><li>
Evaluates the extent to which clients&rsquo; financial crimes models adhere to regulations and guidelines, as well as industry best practices, and provide value added insights and practical recommendations to clients.</li><li>
Prepare reports and written documents utilizing Microsoft Word, PowerPoint, Excel, writing in a clear, concise and articulate manner.</li><li>
Provide guidance and oversight to junior team members, reviewing their work and offering constructive feedback to support skill development and enhance overall quality.</li><li>
Utilize effective project management practices to ensure deliverables meet client expectations, while the project stays within agreed budgets and timelines.</li><li>
Effectively identify, escalate and manage risks and issues as they arise during engagements. Serve as an escalation point for more junior team members.</li><li>
Actively participate in or lead, where necessary, key client meetings.</li><li>
During the course of engagements, identify opportunities for additional work to be delivered to existing clients.</li></ul> 
Sales and Go-To-Market<ul><li>
Take a leading role in contract preparation and budgeting. Support other sales related efforts.</li><li>
Stay up to date on emerging regulatory requirements and guidance, as well as industry trends such as AI and Machine Learning use cases and applications.</li><li>
Develop, maintain and nurture an internal and external network of advisory services buyers.</li></ul> 
Internal Initiatives and People Leadership<ul><li>
Lead by example and provide leadership to ensure that the mission, core values and strategy of the company are put into practice.</li><li>
Demonstrate support in advancing company revenue and profitability objectives.</li><li>
Assist leadership with the execution of an effective growth strategy for the Advisory business.</li><li>
Train, mentor and develop Advisory Data &amp; Analytics team members.</li><li>
Provide balanced, periodic performance reviews to team members.</li><li>
Serve as a People Leader to junior team members.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree preferred in Mathematics, Statistics, Information System Management, and Data Science (or equivalent). If not available, equivalent years of relevant AML/Sanctions/Fraud experience are required. Relevant experience includes time spent providing financial crimes data analytics focused consulting advice to the financial services industry or equivalent time in a financial crime data analytics focused industry role</li><li>
A minimum of nine (9) years of relevant AML/Sanctions/Fraud experience working in industry or at professional services / management consulting firms in an advisory consulting role</li><li>
A minimum of five (5) years in a managerial or leadership role, managing and directing junior resources</li><li>
Deep model validation and tuning experience with a wide variety of systems (Verafin, Actimize, SAS, etc.)</li><li>
A minimum of eight (8) years&rsquo; experience using Microsoft SQL and/or other relational databases</li><li>
A minimum of six (6) years of SQL and Python experience (or another scripting language for data wrangling/ cleaning)</li><li>
Strong analytical and quantitative skills to be able to explain a story based on data analytics (trend analysis, A/B Testing, reconciliation, Regression Models, etc.)</li><li>
A strong project management professional able to lead a small project team and deliver project deliverables accurately and on time. Highly accountable with a strong sense of ownership over deliverables, timelines, and outcomes and able to work on multiple projects simultaneously</li><li>
Robust understanding of anti-financial crime program concepts, including rules and regulations, as well as regulatory and industry trends, as well as the vendor solutions utilized to fight financial crime</li><li>
Ability to interact seamlessly with financial crimes program leaders and senior executives</li><li>
Strong problem solving and analytical skills</li><li>
Excellent interpersonal skills. Ability to communicate succinctly and clearly in writing and verbally</li><li>
Demonstrated ability to work independently with minimal supervision; a strong self-starter who takes initiative</li><li>
Proactive in identifying opportunities, solving problems, and driving tasks forward</li><li>
Highly proficient in Microsoft Office, with a focus on Word, Excel and Powerpoint</li><li>
Experience working with diverse teams, collaborating seamlessly across Data and Advisory teams</li><li>
Ability to travel as needed</li><li>
Must be able to work in the UK without sponsorship now or in the future</li></ul>
Preferred Qualifications<ul><li>
Experience implementing, reviewing and validating AI and Machine Learning capabilities and models</li><li>
CAMS, CFE, ICA or similar certification</li><li>
Experience and/or knowledge in: (i) non-traditional financial services organizations (e.g., payments, fintech, crypto, etc.); and (ii) understanding and/or knowledge of North American, European and Asia Pacific financial crimes laws and regulations</li></ul><h2 class="jobSectionHeader"> 
AML RightSource is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
</h2>Recruitment Scam Alerts
We&rsquo;re aware of an increase in recruitment scams where individuals falsely claim to represent AML RightSource. These scammers may ask for money or personal information by offering fake job opportunities through e-mail, text message or social media. Please verify the source of any job-related communications carefully. All official AML RightSource communications are conducted through &quot;@amlrightsource.com&quot; email addresses. If you encounter suspicious messages, do not respond.</div>

Associate Director Data & Analytics (FCA) - Remote, UK

WPP Media

<div><div>About WPP Media

WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships &ndash; all united by our pioneering agentic marketing platform, WPP Open &ndash; we help clients navigate change, capture opportunity, and deliver transformational growth.

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.</div>
Associate Director, Analytics &ndash; Global Clients

This role is within the Data, Tech, and Analytics (DTA) team, within the Global Client Solutions organisation. The Global Client Solutions (GCS) team is responsible for all global clients within WPP. DTA is responsible for servicing clients with best-in-class data solutions, data strategy, analytics, technology and AI solutions to drive client growth. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection.

Who We Are Looking For

We are seeking an Analytics Associate Director to join our growing Analytics &amp; Data Science team, reporting into the Data Tech and Analytics global lead. The team focuses on media effectiveness measurement, campaign analysis and client communication to help make brands become more valuable to the world. 
 
You will be working with a leading advertiser, JLR, to harness their data and improve the performance of their campaigns, developing and deploying media measurement solutions. Communication with client stakeholders and effective management of assigned tasks is critical in this role. You will be joining an award winning team, with more than 16 tech and media industry awards to our name, including Campaign Magazine's Tech Awards Agency of the Year, Best Use of AI, and Breakthrough Tech as Part of a Campaign awards. 
 
We have invested in giving you the tools to make you as successful as possible, including training/development, full access to Google Cloud Platform and a wider global community of analysts and data scientists. 
 
Some of the things we'd like you to do 

Strategic Analytics Application: Build and apply a deep understanding of marketing objectives to support Account teams with comprehensive measurement and testing plans. To help deliver &quot;best in class&quot; analytical capabilities across the agency with the wider Analytics team, including the use of new methods, techniques, tools and systems. Managing the process through to delivery and taking ownership of global roll out.

Marketing &amp; Business Effectiveness: Lead the creation of clear, robust and thought-provoking campaign reviews and insights, and show the wider team/clients how to improve effectiveness. Deliver insightful campaign reviews with actionable recommendations to improve marketing effectiveness.

Measurement frameworks &amp; Experimentation: Develop deep understanding of marketing platform testing and targeting abilities, and act in a consultative capacity in their implementation. Provide actionable insights and design experiments to optimise campaign performance - focusing on brand and conversion lift studies.

Client Stakeholder Engagement: Build trusted relationships with senior client marketing, analytics, and data leads, acting as a knowledgeable and credible day-to-day strategic partner.

Internal Stakeholder Engagement: Manage relationships with data engineering teams and set automation strategies to integrate new tools and solutions.

Commercial Contribution: Support the commercial health of your client account by contributing to the scoping and delivery of high-value analytics projects. Participate in new business pitches, helping to develop data and tech solutions that demonstrate the value of WPP Media's capabilities. Coordinate with third-party vendors for the assessment and management of bespoke measurement solutions, including contracts and SOWs.

Thought Leaderhsip: Translate complex data concepts for stakeholders and contribute to the company's data strategy, promoting data-driven innovation within the media industry.

Skills &amp; Qualifications

At WPP Media, we believe in the power of our culture and our people. It's what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP &amp; WPP Media's shared core values:
<ul>
<li>You will be highly numerate: able to confidently interpret data and apply statistical tests to draw robust conclusions. Holding a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science</li>
<li>Experience in analytics, measurement, data science, or a related field</li>
<li>Knowledge of applying measurement to media campaigns through Meta/Google, through brand and conversion lift studies, matched market tests or otherwise</li>
<li>Well-developed problem-solving skills and the ability to think critically and creatively</li>
<li>Strong understanding of statistics including hypothesis testing, descriptive statistics and distribution theory</li>
<li>Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences</li>
<li>Able to work independently and as part of a cross-functional team, using project management tools such as Jira/Trello. Ability to project manage analytics projects.</li>
<li>Highly capable at presenting data in a visually engaging and insightful manner that cuts through the noise</li>
<li>Experience in mentorship and management, ability to display empathy in difficult situations and lead by example</li>
<li>Stay up-to-date with the latest industry trends and advancements in data science and analytics</li>
<li>Proficiency in SQL &amp; R/Python, including understanding of packages such as pandas, numpy, scipy &amp; matplotlib.</li>
<li>Strong understanding of what data points can be collected and analysed in a digital campaign, and how each data point should be analysed. Including knowledge of media data and incremental measurement, including both Direct Response and Brand campaigns</li>
</ul><ul><li>Working knowledge of advanced measurement tools including MMM, MTA, Sales Lift, and Brand Studies.</li></ul> 


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Associate Director, Analytics - Global Clients

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you. 
Make an Impact at RSM UK
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance. 
 
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses. 
 
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships. 
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.
You will make an impact by:
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.<ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul> 
What we are looking for:<ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul> 
What we can offer you:
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.<ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul> 
Diversity and Inclusion at RSM 
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

The Home Depot

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist

Hack The Box

<div>✨The core mission of the Director of Data &amp; Analytics:
Hack The Box is on a mission to redefine cybersecurity readiness for the AI era &mdash; and data is the engine room of that mission. As Director of Data &amp; Analytics, you will own the execution of HTB's data platform and analytics strategy: a GCP-native ecosystem (BigQuery, Pub/Sub, Dataflow, Bigtable but also some legacy in Aiven - kafka / Clickhouse - Snowflake) serving analytics, ML, and AI workloads across every product line, from Academy and Labs to Enterprise and AI Range.
In your first 6 months, you'll take operational command of a 10&ndash;12 person team across data engineering, analytics engineering, and BI, drive our Snowflake-to-BigQuery consolidation to the finish line, and establish delivery rhythms, SLOs, and quality gates that make the platform boringly reliable. Over the next year, you'll scale the function: company-wide data governance and data contracts, self-serve analytics adopted by every department, and a data platform that powers HTB's AI products &mdash; not just its dashboards.
Location &amp; Work Mode:<ul><li>
Athens, Attica, Greece</li><li>
Hybrid (2 days in the office, 3 days remote). Those based within 55 km of our Athens office will follow a hybrid work model. For candidates located beyond that radius, a fully remote arrangement is available.</li></ul>
✈️ Relocation
<ul><li>We offer a 10% relocation bonus on the annual salary to support your move.</li><li>
In addition, you would benefit from a 50% tax reduction on your income as part of the relocation.</li><li>
We'll support you with accommodation during the first few weeks</li></ul>
The fellowship you&rsquo;ll be joining:
You'll lead a guild of 10&ndash;12 data professionals spanning three crafts:<ul><li>
Data Engineers building and operating streaming and batch pipelines (Pub/Sub, Dataflow, Kafka, Airflow) and the BigQuery/Bigtable platform</li><li>
Analytics Engineers owning the layered modeling of our warehouse and the semantic foundations of company metrics</li><li>
BI &amp; Analytics specialists turning platform data into decisions for Product, Growth, Finance, and the executive team</li></ul>
You will report directly to the VP of Data, Analytics &amp; AI, and work side by side with the AI/ML infrastructure function (self-hosted GPU inference, LLM platform) within the same department.
Your key stakeholders outside the department: Software Development, Infrastructure Product Management, Finance, Growth/Marketing, and the executive team, who rely on your team's numbers to steer the company.<ul><li>️ Technology tools &amp; weapons you&rsquo;ll be using:</li></ul><ul><li>
Google Cloud Platform: BigQuery, Pub/Sub, Dataflow (Apache Beam), Bigtable, Vertex AI Feature Store</li><li>
Apache Flink/Spark</li><li>
Streaming &amp; messaging: Kafka (Aiven), Pub/Sub with Avro schemas and schema registry (Karapace)</li><li>
Orchestration &amp; transformation: Airflow, layered BigQuery modeling, Python</li><li>
Analytics &amp; BI: modern BI tooling(Looker/Tableau), product analytics (Amplitude), experimentation platforms.</li><li>
Governance: data contracts, CI/CD quality gates</li></ul>
Interesting resources you should check:<ul><li>
Humans of HTB #8: Asterios's journey into Data Engineering</li></ul>
The adventures that await you after becoming Director of Data &amp; Analytics at Hack The Box:<ul><li>
Lead and grow a 10 person team of data engineers, analytics engineers, and BI specialists &mdash; hiring, coaching, and developing the next generation of leads within the team</li><li>
Own the delivery roadmap of the data platform: prioritize across stakeholder demands, set quarterly OKRs, and keep commitments visible and honest</li><li>
Drive the consolidation onto our GCP-native architecture (BigQuery, Pub/Sub, Dataflow, Bigtable), completing the migration off legacy warehouses and CDC pipelines</li><li>
Operationalize data governance company-wide: schema contracts, compatibility tiers, CI/CD gates, and documented business semantics across services</li><li>
Establish engineering discipline: SLOs for data freshness and pipeline reliability, cost observability (FinOps for BigQuery), incident response, and documentation standards</li><li>
Champion self-serve analytics, defining the company's metrics layer and raising data literacy so stakeholders answer their own questions &mdash; and trust the answers</li><li>
Partner with the AI/ML function to ensure the platform feeds feature stores, model training, and AI product telemetry as first-class workloads</li><li>
Represent the data function to the executive team: translate platform investment into business outcomes, and business strategy into platform priorities</li></ul>
Skills, knowledge, and experience points required to unlock the role of Director of Data &amp; Analytics at Hack The Box:<ul><li>
8&ndash;10+ years in data engineering/analytics, including 4+ years managing data teams (managers and/or senior ICs) of 8 or more people in a product or SaaS company</li><li>
Proven delivery of a modern cloud data platform &mdash; ideally GCP (BigQuery, Pub/Sub, Dataflow); strong experience with another major cloud warehouse stack also counts.</li><li>
Hands-on fluency with streaming architectures: Kafka or Pub/Sub, schema management (Avro/Protobuf, schema registries), and data contracts between producing services and the platform</li><li>
Track record of establishing data governance and quality practice that engineers actually follow &mdash; compatibility policies, CI gates, lineage, and documentation</li><li>
Strong analytics leadership: building metrics layers, BI adoption, and experimentation practices that change how a business makes decisions</li><li>
Executive-grade communication &mdash; you can defend an architecture decision to engineers in the morning and a budget to the CFO in the afternoon</li><li>
Bonus XP: exposure to ML/AI data infrastructure (feature stores, model telemetry), cybersecurity or gaming/community-driven products, ClickHouse/Druid.</li></ul>
️ What your Hack The Box adventure will have in store:<ul><li>
You'll have the exhilarating opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large.</li><li>
You'll experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy.</li><li>
You'll embark on an exciting journey of continuous learning and problem-solving, leveling up as our organization grows.</li><li>
Most importantly, you'll have a blast at HTB because fun is an essential ingredient in our recipe for success! Just wait until you see our global meet-ups!</li></ul>
We also have other benefits that will keep you happy:<ul><li>
Private health care</li><li>
Paid parental leave (4 weeks)
</li><li>25 annual leave days</li><li>
Free lunch &amp; snacks at the office</li><li>
120&euro; Ticket Restaurant by Edenred</li><li>
Dedicated budget for training and professional development, participation in conferences</li><li>
Full access to the Hack The Box lab offerings; so you can learn how to hack
</li><li>State-of-the-art equipment (mac, iPhone, and mobile plan)</li><li>
Flexible WFH (Hybrid Model) - Fully Remote is also an option if you're not an Attica resident
</li><li>Annual childcare allowance to support daycare expenses for parents</li><li>
Access to on-site gym and a variety of group activities, including Cross Training, Pilates, Boxing, and Climbing</li></ul>
Our benefits package is designed to provide strong support to our team, but it may vary depending on location and type of employment (e.g., UK, US, Greece, Australia, or engagement through an Employer of Record or contract).
️ The Quest of Becoming Hack The Box&rsquo;s Director of Data &amp; Analytics at HTB:<ul><li>
Level 1 &mdash; Apply: Submit your application. Tell us why this role excites you and what you&rsquo;d bring.</li><li>
Level 2 &mdash; Talent Screen: A conversation with our Talent Acquisition team to explore your background and ambitions.</li><li>
Level 3 &mdash; A relaxed conversation with your future manager. Think of it as a mutual vibe check.</li><li>
Level 4 &mdash; A real-world scenario that lets you show how you&rsquo;d approach people &amp; technical management with your unique perspective. You&rsquo;ll present your work to a panel of the team &mdash; no trick questions, no gotchas, just a chance to show us how you think and tell a story.</li><li>
Level 5 &mdash; Stakeholder interview : An opportunity to meet with core stakeholders of HTB that you will collaborate closely with</li><li>
Level 6 &mdash; Congratulations! Not many reach this level . Level&rsquo;s objective: have a constructive, final conversation with senior leadership to explore the role and your future at HTB.</li><li>
Level 7 &mdash; You've officially received an offer from HTB! To complete the last level and the Quest, all you need to do is accept the offer.</li><li>
Quest complete. Congratulations, you&rsquo;re officially one of us Your next quest: complete the onboarding.</li></ul>
Hack Your Career, Today. Join us in this epic adventure of cybersecurity at Hack The Box!
At Hack The Box, we are on a quest to find the most exceptional and enthusiastic talent to join our team. Whether or not you consider yourself a gamer, we value what makes you unique and want to know more about you. This job post provides just a glimpse of the incredible gamified experience our business and consumer customers enjoy through our platforms. So, if you're ready to embark on a journey of disruption, growth, and adventure, we can't wait to meet you!
ABOUT HACK THE BOX
Hack The Box is the leading cyber readiness platform for the agentic era, battle-testing and upskilling both humans and AI agents to enhance organizational cyber resilience. Trusted by the Fortune 500, government agencies, and MSSPs, the platform delivers threat-informed learning paths consisting of real-world scenarios in gamified labs and live-fire simulations that build and validate offensive and defensive cyber capabilities. With a loyal community of more than 4 million members and 800+ enterprise customers, Hack The Box empowers teams and intelligent systems alike to strengthen cyber defenses and reduce breach risk effectively.
Rapidly growing its international footprint and reach, Hack The Box is headquartered in the UK, with additional offices in the US, Australia, and Greece.
News &amp; Resources:<ul><li>
We&rsquo;re incredibly proud to share that our headquarters in the UK, along with our entities in Greece and the US, have been certified as a Great Place to Work for 4 consecutive years (2023 - 2026).</li><li>
In addition, our Greek entity has been recognized among the Best Workplaces in Greece (4th, 2nd, 3rd, 1st) and Europe (7th, 10th, 73rd) during this period &mdash; a testament to our strong culture and commitment to creating an exceptional employee experience!</li></ul> 
Take a sneak peek at how it is to be part of HTB. Get more insights about our HTB culture and employee experience by visiting the &ldquo;about us&rdquo; section of our site, our career site, and Glassdoor. 
At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values.</div>

Director of Data & Analytics

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist, Marketing

Capital One

<div>Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring. 
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases</li><li>
Experience designing and implementing AI workflows and autonomous AI agents</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Anytown, IL: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

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