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Kanz

<div>
 
 Company Description
 
 
 
 Kanz is partnering with hassan+wac to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
 
 
 Company Name: hassan+wac
 
 
 
 Job Description
 
 
 
 We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will leverage advanced statistical and machine learning techniques to transform complex data into actionable insights that drive business growth and innovation. You will work with diverse datasets to solve challenging business problems and contribute to strategic decision-making processes.
 
 
 
 Job Purpose
 
 
 
 The primary purpose of this Data Scientist role is to extract meaningful insights and actionable intelligence from complex, often unstructured data to solve business problems, drive strategic decisions, and create predictive models that optimize business outcomes and support data-driven decision making across the organization.
 
 
 
 Job Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Statistical Analysis
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Python Programming
 </li>
 <li>
 R Programming
 </li>
 <li>
 Data Wrangling
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Communication Skills
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Business Problem Solving
 </li>
 <li>
 Strategic Decision Making
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Statistical Analysis
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Python Programming
 </li>
 <li>
 R Programming
 </li>
 <li>
 Data Wrangling
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Communication Skills
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Business Problem Solving
 </li>
 <li>
 Strategic Decision Making
 </li>
 </ul>
</div>

Data Scientist

Emdad By Elm

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 
 Job Description:
 
 
 
 The Data Scientist is responsible for analyzing, modeling, and interpreting complex datasets to generate actionable insights and support data-driven decision-making. The role focuses on developing statistical models, machine learning algorithms, and analytical solutions that enhance organizational performance, optimize products and services, and enable strategic planning.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from multiple sources.
 </li>
 <li>
 Analyze large datasets to identify trends, patterns, and insights that support business and strategic objectives.
 </li>
 <li>
 Design, develop, and validate statistical models and machine learning algorithms.
 </li>
 <li>
 Build predictive and prescriptive analytics solutions to support decision-making.
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into analytical solutions.
 </li>
 <li>
 Develop data visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, robustness, and scalability.
 </li>
 <li>
 Ensure data quality, integrity, and consistency across analytical outputs.
 </li>
 <li>
 Apply best practices in data governance, privacy, and ethical use of data.
 </li>
 <li>
 Document methodologies, models, and analytical processes.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in Data Science, Artificial Intelligence, Statistics, or a related discipline is preferred.
 </li>
 <li>
 Minimum of
 
 2&ndash;5 years
 
 of experience in data analysis, data science, or applied machine learning.
 </li>
 <li>
 Strong proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Solid understanding of statistical analysis, probability, and hypothesis testing.
 </li>
 <li>
 Experience with SQL and working with relational and non-relational databases.
 </li>
 <li>
 Ability to communicate complex analytical concepts clearly to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Competencies:
 
 
 <ul>
 <li>
 Data Analysis and Statistical Modeling
 </li>
 <li>
 Machine Learning and Predictive Analytics
 </li>
 <li>
 Problem-Solving and Critical Thinking
 </li>
 <li>
 Data Visualization and Storytelling
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Attention to Detail and Data Quality
 </li>
 <li>
 Time Management and Prioritization
 </li>
 <li>
 Ethical Data Usage and Privacy Awareness
 </li>
 </ul>
 
 
 
 
 
 Expected Outcomes:
 
 
 <ul>
 <li>
 Actionable insights that support strategic and operational decision-making.
 </li>
 <li>
 Reliable and scalable data models that improve efficiency and performance.
 </li>
 <li>
 Improved data-driven culture across the organization.
 </li>
 <li>
 Measurable impact through analytics and predictive insights.
 </li>
 </ul>
</div>

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Capco

<div>Please note we are looking to speak to individuals already based in the Riyadh/Dubai as a first priority.

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco&rsquo;s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

Location: Riyadh/Dubai (On-site) | Practice Area: Data &amp; AI | Type: Permanent

The Role 
As a Managing Principal / Director &ndash; Data Lead, you&rsquo;ll play a pivotal role in growing Capco&rsquo;s Data &amp; Analytics capability in Riyadh. This is a senior, hands-on leadership position that blends delivery ownership with market development. You&rsquo;ll lead high-impact data programmes for major clients while actively contributing to sales activity, account growth, and the expansion of Capco&rsquo;s footprint in the region.

What You&rsquo;ll Do
<ul>
<li>Lead end-to-end delivery of complex data and analytics engagements, remaining hands-on enough to guide technical direction and outcomes</li>
<li>Act as a trusted senior advisor to client stakeholders, translating business objectives into scalable data solutions</li>
<li>Drive business development activity, supporting proposals, shaping client opportunities, and building long-term client relationships</li>
<li>Build and grow Capco&rsquo;s Data &amp; Analytics presence in Riyadh, contributing to capability development and local market strategy</li>
<li>Mentor and develop teams, fostering an inclusive, high-performing environment aligned to Capco values</li>
</ul>
What We&rsquo;re Looking For
<ul>
<li>Experience in leading Consulting firms</li>
<li>10+ years&rsquo; practical experience in data, analytics or AI roles with significant, demonstrable exposure to the financial services industry</li>
<li>Senior leadership experience delivering large-scale data and analytics programmes within consulting or complex client environments</li>
<li>Strong technical grounding across data platforms, architecture, and analytics, with the ability to engage credibly in delivery discussions</li>
<li>Excellent stakeholder management skills, with confidence working at executive level</li>
<li>Demonstrable consulting background and experience in delivery or sales, account growth and client development.</li>
</ul>
Bonus Points For
<ul>
<li>Experience working in or across Middle Eastern markets</li>
<li>Background in financial services or adjacent regulated industries</li>
<li>Experience shaping new market offerings or growing regional practices</li>
<li>Native Arabic speaker</li>
</ul>
Why Join Capco
<ul>
<li>Deliver high-impact data and analytics solutions for leading organisations</li>
<li>Play a key role in growing Capco&rsquo;s Data &amp; AI in the Middle East</li>
<li>Work in a collaborative, flat, and entrepreneurial consulting culture</li>
</ul>
Inclusion at Capco 
We&rsquo;re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know &ndash; we&rsquo;ll be happy to help. We value each person&rsquo;s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration &ndash; a mindset that shapes how we work with clients and each other every day.</div>

Senior Manager/Director - Data Lead

Rewaa

<div>
 
 
 Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!
 
 
 
 
 
 
 
 Own the end-to-end AI strategy and execution for our B2B business. You&rsquo;ll build an agentic-AI platform&mdash;designing, deploying, and operating AI agents that automate complex workflows, augment human teams, and drive measurable revenue and efficiency. You&rsquo;ll lead Data Science, ML/LLM Engineering, MLOps, and Data Platform functions to deliver production-grade automation.
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 AI &amp; Automation Strategy: Define a 12&ndash;24 month roadmap for agentic AI, including prioritized workflows, business cases, and an experiment-to-production funnel
 
 </li>
 </ul>
 <ul>
 <li>
 Agentic Systems: Architect multi-agent systems (planning, tool use, retrieval, memory, monitoring) to automate end-to-end B2B processes (e.g., lead ops, customer service workflows, underwriting, ticket triage, finance operations)
 
 </li>
 </ul>
 <ul>
 <li>
 ML/LLM Productization: Ship production AI features (LLM orchestration, RAG, fine-tuning/LoRA, structured tool calling, function routing, evaluator loops) with defined reliability SLAs
 
 </li>
 </ul>
 <ul>
 <li>
 Data Platform &amp; MLOps: Own data quality, feature stores, model registries, CI/CD for models, online/offline evaluation, observability, and cost/performance governance
 
 </li>
 </ul>
 <ul>
 <li>
 Risk, Governance &amp; Safety: Establish guardrails for privacy, security, bias, model drift, safety, prompt injection, and compliance&mdash;including human-in-the-loop systems where needed
 
 </li>
 </ul>
 <ul>
 <li>
 Team Leadership: Build and mentor a 15+ person organization across Data &amp; AI; elevate hiring standards, technical bar, and team culture
 
 </li>
 </ul>
 <ul>
 <li>
 Partnerships &amp; Vendors: Evaluate and negotiate with model providers, vector DBs, evaluation platforms, data vendors, and cloud partners; drive a hybrid build-vs-buy strategy
 
 </li>
 </ul>
 <ul>
 <li>
 Metrics &amp; ROI: Tie AI initiatives to revenue lift, margin expansion, and cycle-time reduction; present measurable outcomes to executive leadership
 </li>
 <li>
 Cross-Functional Leadership: Partner with Product, Design, Sales, Operations, Legal, and Security to land AI features and enterprise deployments
 
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications
 
 <ul>
 <li>
 12+ years in Data/ML, including 5+ years leading managers and multi-disciplinary teams
 
 </li>
 </ul>
 <ul>
 <li>
 Solid understanding of agentic or tool-using LLM systems (planning, tool invocation, evaluators, autonomous workflows)
 
 </li>
 </ul>
 <ul>
 <li>
 Strong ML fundamentals (supervised/unsupervised learning, sequence models, embeddings, retrieval, evaluation design, causal inference)
 
 </li>
 </ul>
 <ul>
 <li>
 Deep MLOps experience (feature stores, model registry, deployment patterns, drift detection, online/offline evaluation, A/B frameworks)
 
 </li>
 </ul>
 <ul>
 <li>
 Proven ability to translate ambiguous business processes into automated AI workflows with quantifiable ROI
 
 </li>
 </ul>
 <ul>
 <li>
 Excellent executive communication and stakeholder management across Product, GTM, Operations, Security, and Legal
 
 </li>
 </ul>
 
 
 
 
 Compensation and Benefits
 
 <ul>
 <li>
 Competitive monthly salary
 </li>
 <li>
 Stock Option Plan
 </li>
 <li>
 Health insurance for the employee, their spouse, and children
 </li>
 <li>
 21 working days of annual vacation
 </li>
 <li>
 Rewaa is a fast-growing company with great opportunities to develop
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Alert for Candidates
 
 
 
 
 
 Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa&rsquo;s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
 
 
 
 
 
 
 &nbsp;
 
 تنبية للمتقدمين
 
 
 تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي.
 
 
 
 
 
 
 
 Notice to External Recruiters and Staffing Agencies
 
 
 
 
 
 Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
 
 
 
 
 
 
 &nbsp;
 
 إشعار للمستقطبين الخارجيين ووكالات التوظيف
 
 
 تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.
 
 
 
 
 
 
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 
 
 
 
</div>

VP of Data & AI

Adecco

<div>
 
 What We're Looking For
 
 
 
 
 
 ● 5+ years of enterprise B2B sales experience, with a strong track record of opening new accounts and closing complex, high-value deals
 
 
 ● Background in EdTech, L&amp;D, HR technology, or workforce solutions &mdash; you understand how organisations think about talent development, and you know how L&amp;D buying decisions get made
 
 
 ● Suffi cient knowledge of AI and digital technologies to hold credible conversations with technical and business leaders about AI upskilling programs &mdash; you don't need to be a data scientist, but you need to understand the landscape well enough to be a trusted adviser
 
 
 ● Experience managing long, multi-stakeholder sales cycles where you're building a business case as much as closing a deal
 
 
 ● A consultative, problem-fi rst approach to sales &mdash; you're not selling off the shelf, you're designing a solution through dialogue
 
 
 ● An established network in Saudi Arabia across corporate, government, or public sector organisations, or a clear, credible plan to build one
 
 
 ● Fluency in both Arabic and English, written and spoken &mdash; you'll switch between both depending on the client and the room
 
 
 ● Deep familiarity with Salesforce for pipeline management, activity tracking, and forecasting
 
 
 ● Based in Saudi Arabia, with fl exibility to travel within the Kingdom and regionally
 
 
 
 
 
 Interested candidates can share their CVS -
 
 Remya.Raghvan@adecco.com
 
 
</div>

Sales Account Director

Confidential Government

<div>
 
 Role Purpose
 
 
 
 
 
 The Director of Innovation, Product Development &amp; Research is responsible for setting and leading the organization&rsquo;s innovation and product development agenda, driving data-driven decision-making, and translating strategic objectives into scalable products, research outcomes, and enterprise-wide initiatives. The role oversees innovation, data products, analytics, R&amp;D, and emerging technologies to deliver measurable business value.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Define and lead the innovation and product development strategy, ensuring alignment with organizational goals.
 </li>
 <li>
 Oversee the end-to-end lifecycle of data products, from ideation through delivery, adoption, and optimization.
 </li>
 <li>
 Establish governance and best practices for Data &amp; Analytics, ensuring insights support executive decision-making.
 </li>
 <li>
 Lead Research &amp; Development (R&amp;D) initiatives and ensure outcomes are commercially or operationally viable.
 </li>
 <li>
 Drive strategy execution, translating high-level objectives into prioritized programs, initiatives, and roadmaps.
 </li>
 <li>
 Apply Agile frameworks at scale to manage portfolios, programs, and cross-functional teams.
 </li>
 <li>
 Provide executive-level business analysis, converting complex requirements into strategic solutions.
 </li>
 <li>
 Evaluate and integrate Artificial Intelligence (AI) capabilities and emerging technologies where they create value.
 </li>
 <li>
 Lead, mentor, and develop senior managers and multidisciplinary teams, fostering a culture of innovation, accountability, and continuous improvement.
 </li>
 <li>
 Act as a key partner to senior leadership and stakeholders, influencing direction and ensuring alignment across functions.
 </li>
 <li>
 Monitor performance, risks, and delivery milestones, ensuring outcomes meet quality, timeline, and budget expectations.
 </li>
 </ul>
 
 
 
 
 Qualifications &amp; Experience
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Business Administration, or a related field (Master&rsquo;s degree preferred).
 </li>
 <li>
 10+ years of progressive experience in innovation, product development, data, or related fields, including significant leadership at director or senior management level.
 </li>
 <li>
 Proven expertise in:
 </li>
 <li>
 Data &amp; Analytics
 </li>
 <li>
 Data Products strategy and delivery
 </li>
 <li>
 Innovation leadership
 </li>
 <li>
 Business analysis and enterprise project/program management
 </li>
 <li>
 Agile methodologies (enterprise / scaled Agile)
 </li>
 <li>
 Research &amp; Development (R&amp;D)
 </li>
 <li>
 Strategy formulation and execution
 </li>
 <li>
 Strong working knowledge of Artificial Intelligence (AI) concepts, use cases, and implementation considerations.
 </li>
 <li>
 Demonstrated experience leading large, cross-functional teams and managing senior stakeholders.
 </li>
 </ul>
 
 
 
 
 Leadership &amp; Executive Competencies
 
 <ul>
 <li>
 Strategic and visionary leadership.
 </li>
 <li>
 Strong decision-making grounded in data and business insight.
 </li>
 <li>
 Executive communication and stakeholder influence.
 </li>
 <li>
 Change leadership in complex, fast-paced environments.
 </li>
 <li>
 Results-driven mindset with a focus on value creation and impact.
 </li>
 </ul>
 
 
</div>

Director of Innovation, Product Development & Research

Explore 1098+ Senior data scientist in Riyadh this February. Find roles across top companies and apply now to boost your career.

1098 senior data scientist jobs In Riyadh

Data Scientist

Data Scientist

Data Scientist

Senior Manager/Director - Data Lead

VP of Data & AI

Sales Account Director

Director of Innovation, Product Development & Research