data science lead

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. 
 
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Data Science Lead to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO MPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will lead the analytics and insights efforts for one of the Amazon Music product teams. You will set the science and analytics roadmap and direction for the domain and work with stakeholders and partners to deliver experimentation insights, authoring white papers and models to advance our analytics and science offerings. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. 
 
Key job responsibilities 
<ul><li>A Data Science Lead serving this role will act as thought partner to L8s of Product and Engineering organizations</li><li>Lead and drive Data Scientists on strategic growth areas: retention, voice + visual engagement, organization-wide experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain customer segmentation models to understand streaming behaviors and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul> 
A day in the life 
<ul><li>Lead and mentor data scientists specializing in experimentation and customer analytics</li><li>Lead strategic relationships across music search, experimentation, music catalog and FPE initiatives</li><li>Conduct experimentation and hypothesis testing, build launch measurements, goal benchmarking, and forecasting</li><li>Develop science models for targeting and create operational reporting with anomaly detection for product health monitoring</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Conduct stakeholder meetings and present insights to senior leadership</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>4+ years of data scientist experience</li><li>Experience with statistical models e.g. multinomial logistic regression</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience</li><li>Experience managing data pipelines</li><li>Experience as a leader and mentor on a data science team</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Culver City - 159,200.00 - 215,300.00 USD annually 
USA, CA, San Francisco - 183,000.00 - 247,600.00 USD annually 
USA, CA, Sunnyvale - 183,000.00 - 247,600.00 USD annually 
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div>

Data Scientist Lead, Amazon Music - DISCO

MILAHA

<div>Communication
 
Internal Communication:
 
Internal Business Units
 
All Internal Department
 
Senior Leadership Team
 
Purpose:
 
 Innovation in AI Products and Services
 
 Customer Experience Enhancement:
 
 Data Integration and Democratization
 
 Predictive and Prescriptive Analytics
 
 Change Management and Adoption of AI
 
 Cloud and Scalable AI Infrastructure
 
 Data Governance and Ethics
External Communication:
 
External IT Vendors
 
Software Integrators
Occupational Health &amp; Safety and Environment
 
Accountability:
 
Are accountable for their acts and omissions.
 
Responsibility:
 
To follow agreed safe systems of work; to follow training and instructions; and to report accidents, incidents and near misses.
 
Authority:
 
To stop work if they think the work is unsafe.</div>
 <div><div>Education &amp; Professional Qualification:
 
Bachelor&rsquo;s Degree in Computer Science, Data Science
 
Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology
 
Master&rsquo;s Degree (preferred):
 
Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research
 
Professional Experience:
 
<ul><li>8 years of hands-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms.
</li><li>Experience with machine learning techniques, such as:
</li><li>Supervised/Unsupervised Learning
</li><li>Deep Learning (e.g., Neural Networks, CNNs, RNNs)
</li><li>Natural Language Processing (NLP)
</li><li>Computer Vision
</li></ul>Geographic Experience:
 
A plus
 
Computer Skills:
 
data science, machine learning, AI, including developing and deploying AI models and algorithms
 
Language Skills:
 
Business fluent English
 
Arabic Language is an advantage.</div></div>
 <div><div>Strategic Leadership &amp; Vision
 
<ul><li>Define and execute the organization&rsquo;s Data Science &amp; AI strategy in alignment with business goals.
</li><li>Identify and prioritize opportunities where AI and data driven solutions enhance efficiency, customer experience, product offerings, and revenue generation.
</li><li>Lead the design of a unified data and AI architecture, including the development of a scalable Data Lakehouse, semantic layers, feature stores, and streaming/batch data integration.
</li><li>Drive the Generative AI roadmap&mdash;selecting LLM providers, designing RAG architectures, and enabling enterprise wide AI capabilities.
</li><li>Oversee FinOps practices to optimize cloud and compute costs associated with AI, GPU workloads, and large scale data storage.
</li></ul>AI &amp; Data Engineering Execution
 
<ul><li>Oversee the end to end development, validation, deployment, and lifecycle management of machine learning and AI models.
</li><li>Implement CI/CD/CT pipelines to ensure automated, continuous, and reliable model updates.
</li><li>Build and maintain vector database infrastructure to support semantic search, contextual AI, and long term knowledge retrieval.
</li><li>Ensure data pipelines, platforms, and architectures are optimized for performance, scalability, and resilience.
</li></ul>Governance, Risk, Compliance &amp; Ethics
 
<ul><li>Implement data governance, security, and privacy standards, including RBAC/ABAC and protection of PII and sensitive datasets.
</li><li>Establish and monitor automated controls for model drift, fairness, explainability, and ethical use of AI.
</li><li>Ensure compliance with relevant regulations (e.g., GDPR, HIPAA) and internal policies.
</li><li>Maintain best practices for data quality, versioning, reproducibility, and auditability.
</li></ul>Innovation &amp; Continuous Improvement
 
<ul><li>Lead experimentation with new algorithms, methods, and technologies to maintain a cutting edge AI ecosystem.
</li><li>Promote a culture of continuous improvement, refining processes, tools, and models to enhance performance and business impact.
</li></ul>Team Leadership &amp; Capability Building
 
<ul><li>Mentor and develop a high performing team of data scientists, AI engineers, and data professionals.
</li><li>Oversee training and upskilling initiatives to ensure the team remains current with emerging technologies and methodologies.
</li></ul>Stakeholder Management &amp; Communication
 
<ul><li>Serve as a strategic advisor between business and technical teams&mdash;translating business challenges into AI solutions and articulating AI outcomes clearly to non technical stakeholders.
</li><li>Provide regular updates to leadership on progress, performance metrics, model outcomes, and business results.
</li><li>Drive cross department collaboration to ensure successful adoption and integration of AI solutions.
</li></ul>Technology, Tools &amp; Vendor Management
 
<ul><li>Lead the selection, integration, and management of AI platforms, data tools, and vendor partnerships.
</li><li>Manage budgets for data science and AI initiatives, ensuring optimal allocation of resources.
</li><li>Make decisions related to hiring, vendor selection, and solutions procurement that support strategic AI objectives.</li></ul></div></div>
 <div><div>Education &amp; Professional Qualification:
 
Bachelor&rsquo;s Degree in Computer Science, Data Science
 
Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology
 
Master&rsquo;s Degree (preferred):
 
Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research
 
Professional Experience:
 
<ul><li>8 years of hands-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms.
</li><li>Experience with machine learning techniques, such as:
</li><li>Supervised/Unsupervised Learning
</li><li>Deep Learning (e.g., Neural Networks, CNNs, RNNs)
</li><li>Natural Language Processing (NLP)
</li><li>Computer Vision
</li></ul>Geographic Experience:
 
A plus
 
Computer Skills:
 
data science, machine learning, AI, including developing and deploying AI models and algorithms
 
Language Skills:
 
Business fluent English
 
Arabic Language is an advantage.</div></div>

Specialist - AI & Data Architect

Starbucks

<div>Now Brewing &ndash; Lead Data Scientist, Data &amp; Analytics! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
Are you driven to uncover meaningful insights and build data-powered solutions that shape the future of the world&rsquo;s leading coffeehouse brand?
As a Lead Data Scientist on the Digital Data Science team, you will lead the development of advanced AI/ML models powering personalization &amp; recommendations for Starbucks digital surfaces such as the mobile app, web, digital menu boards and digital drive thru screens. You will drive the evolution of existing models and apply rigorous statistical methods to help achieve 1:1 personalization at the customer level, contextual personalization based on external signals and operational personalization that aligns with our ecosystem of stores. Your work will directly impact millions of Starbucks customers and coffee occasions at scale.
The D&amp;A organization spans four key pillars: Customer, Retail Operations, Supply Chain, and Enterprise. Each domain is focused on solving unique and complex challenges through data science. Whether personalizing marketing campaigns, optimizing store operations, improving inventory flow, or unlocking enterprise-wide initiatives, our data scientists apply advanced analytics, experimentation, and modeling to elevate the Starbucks experience. This centralized recruiting approach allows us to match candidates with the most relevant opportunities based on their skills and interests, ensuring alignment with business needs and personal growth. Join a team where data meets purpose to shape what&rsquo;s next for Starbucks. 
As a lead data scientist, you will&hellip;<ul><li> 
 Lead the design and development of scalable data science solutions from the start to the finish by utilizing machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.</li><li> Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs</li><li> Mentor data analysts &amp; data scientists on best practices, processes, frameworks, and KPIs</li><li> Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.</li><li> Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring.</li></ul> 
We&rsquo;d love to hear from people with:<ul><li> Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Master&rsquo;s and/or PhD preferred</li><li> Minimum of 8+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li> Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference</li><li> Demonstrated track record of delivering AI/ML models into production with measurable business impact, including expertise in evaluation techniques (A/B testing, lift analysis) and model governance</li><li> Strong problem-solving skills with the ability to influence leadership teams at different levels</li><li> Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.</li><li> Advanced competency and expertise in Python, R, or some combination</li><li> Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala</li><li> Strong collaboration instincts &ndash; desire &amp; ability to work with partners to achieve the best outcome for the business.</li><li> Excellent communication, presentation, and storytelling skills. The role requires effective communication with colleagues, stakeholders, and leaders from diverse backgrounds.</li><li> Proven ability to manage multiple, time-sensitive projects and competing priorities simultaneously to drive projects to completion with minimal guidance and high attention to details.</li></ul> 
Preferred skills:<ul><li> Experience building personalization and recommendation systems (e.g., collaborative filtering, content-based, or hybrid approaches) for digital platforms or mobile apps.</li><li> Familiarity with ranking algorithms, reinforcement learning, and contextual bandits for optimizing customer experiences.</li><li> Hands-on experience with model deployment in production environments, including monitoring, retraining, and performance optimization at scale.</li><li> Strong understanding of offline and online evaluation techniques for recommendation systems (e.g., precision/recall, NDCG, A/B testing).</li><li> Knowledge of feature engineering for behavioral and transactional data, and experience leveraging real-time data streams for model updates.</li></ul> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul> 
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. 
We believe we do our best work when we're together, which is why we're onsite four days a week. 
Join us and inspire with every cup. Apply today!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender identity and expression, genetic information, or any other factor protected by law.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com.</div>

lead data scientist - Seattle, WA

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale. 
 
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores. 
 
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action. 
 
Key job responsibilities 
 
Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models 
Working with technical and non-technical stakeholders across every step of science project life cycle 
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models 
Innovating by adapting new modeling techniques and procedures 
Presenting research results to our internal research community<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>4+ years of data scientist experience</li><li>Experience with statistical models e.g. multinomial logistic regression</li><li>Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science</li><li>Experience managing data pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience as a leader and mentor on a data science team</li><li>Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 183,000.00 - 247,600.00 USD annually 
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually 
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div>

Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science

dunnhumby

<div><div>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</div><div></div> 
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail &ndash; one of the world's most competitive markets, with a deluge of multi-dimensional data &ndash; dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Job Title: Senior Applied Data Scientist

Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely)

Job Duties:

WHY I DO MY JOB | Job purpose

To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work policy.

WHAT I DO | Key accountabilities
<ul>
<li>Build strong relationships with internal contacts &amp; external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project.</li>
<li>Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use &amp; further development of global solutions or code written by others.</li>
<li>Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.</li>
<li>Identify opportunities to grow client engagement by proactively solving client's strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action.</li>
<li>Participate in client meetings as required to present methodology and solutions through effective story telling techniques.</li>
<li>Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.</li>
<li>Ensure smooth running of your data analytics projects and support junior team members with their projects.</li>
<li>Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards.</li>
<li>Provide advice and support to colleagues to resolve challenges and support code reviews.</li>
</ul>
Job requirements:
<ul>
<li>Bachelor's degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field.</li>
<li>In addition to the degree, must have at least 4 years of experience in each of the following:</li>
<li>Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and</li>
<li>Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks.</li>
</ul>
Within this, must have at least 2 years of experience in each of the following:
<ul>
<li>Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python;</li>
<li>Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making;</li>
<li>Programming experience on any standard data mining and modelling packages such as Python and R; and</li>
<li>Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems.</li>
</ul><div>
What you can expect from us

We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)</div></div>

Senior Applied Data Scientist

Total Wine & More

About the Role Total Wine &amp; More is seeking a Lead Data Scientist to join our growing Data Services team in our Bethesda, MD office. You will play a pivotal role in designing, developing, and deploying machine learning and AI solutions that drive strategic decision-making and operational efficiency across Total Wine &amp; More business. You will be responsible for supporting the full lifecycle of machine learning and AI development&mdash;from initial ideation and business problem framing through model development, deployment, and ongoing performance monitoring. This role requires a strong foundation in data science, with a deep interest in learning about production-grade ML systems, and a proactive approach to translating business needs into technical solutions. You will be expected to act independently to deliver high-impact technical solutions, taking ownership of projects from concept to execution. You will mentor junior team members on technical trade-offs on solutions and provide thought leadership about how different problems can be solve. This role reports to the Senior Director, Data Science. You will Be responsible for designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures. When designing solutions create processes that can be utilized for multiple business reasons and is adaptable. Responsible for larger more complex business problems that are multi-dimensional. Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on different modeling techniques and implications when applied to business problem. Validate model performance using statistical metrics, conduct fairness and bias assessments, and perform error analysis to refine model quality. Create evaluation metrics and results that tie to business outcomes. Able to articulate how model performance gain equates to business value. Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling and documenting for maintainability. Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling and documenting for maintainability. Monitor deployed models by tracking performance over time, detecting data drift, triggering retraining when necessary, and implementing logging and alerting mechanisms. Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI. Communicate model results and trade-offs to leadership and stakeholder. You will come with Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or related fields required or equivalent years of experience. Master's Degree in Computer Science, Mathematics, Statistics or related field preferred. 5-8 years in data science, predictive analytics, econometrics, software engineering, data engineering or related fields preferred. Proven expertise in designing and architecting advanced machine learning and AI solutions, including leading efforts to frame complex business problems, define scalable feature engineering strategies, and select optimal algorithms and architectures for enterprise-level applications. Proven expertise in model training and optimization, with the ability to design efficient training pipelines, implement distributed training strategies, and apply sophisticated hyperparameter tuning techniques to maximize performance and scalability. Proven expertise in model validation and governance, including establishing rigorous evaluation frameworks, conducting comprehensive fairness and bias audits, and driving continuous improvement through advanced error analysis and benchmarking. Proven expertise in production deployment of ML systems, including designing robust CI/CD pipelines, implementing containerization and orchestration (e.g., Docker, Kubernetes), and ensuring compliance with security and reliability standards across cloud environments. Oversight of model monitoring and lifecycle management, including building automated monitoring systems, implementing drift detection and retraining workflows, and defining alerting mechanisms to maintain long-term model health and business impact. Expert-level programming skills in Python and SQL, with the ability to develop production-grade code, optimize queries for large-scale datasets, and mentor team members on best practices for coding and data management. Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI. We offer Paid Time Off (PTO) Generous store discounts Health care plans (medical, prescription, dental, vision) 401(k), HSA, FSA, Pre-tax commuter benefits Disability &amp; life insurance coverage Paid parental leave Pet insurance Critical illness and accident insurance Discounted home and auto insurance College tuition assistance Career development &amp; product training Consumer classes &amp; More! Grow with us Total Wine &amp; More is the country's largest independent retailer of fine wine, beer and spirits, and we continue to grow our footprint year over year. Total Wine offers exciting and unique career opportunities across the country and in our corporate office. Our strength is our people. We have a commitment to training and career growth, all in an environment that values new ideas and teamwork. If you share our entrepreneurial spirit and a passion for providing best-in-class customer experience, take a moment to apply or learn more at https://careers.totalwine.com/! Total Wine &amp; More considers several factors when establishing compensation. Estimated salaries determined by third parties have not been validated by Total Wine &amp; More. Compensation may vary based on a number of factors including, but not limited to, market location, job-related knowledge, skills and/or experience. Total Wine &amp; More is an equal opportunity employer and all qualified applicants will receive consideration for employment without discrimination based on race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Total Wine &amp; More makes reasonable accommodations during all aspects of the employment process, including during the interview process. Total Wine &amp; More is a Drug Free Workplace. The information provided above indicates the general nature and level of work required of the position and is not a comprehensive list of all responsibilities or qualifications. Benefits list is only a highlight of some of the benefits offered to team members; eligibility for certain benefits apply.

Lead Data Scientist

CHANEL

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 At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.
 
 
 
 
 About the role:
 
 
 
 CHANEL is now hiring a Data Scientist for our Digital Client Experience (DCX) Data team in New York City. Our ideal Data Scientist is able and experienced to lead advanced analytics and data-driven initiatives that enhance our client experiences digitally and in boutiques. This role will define and execute the data science roadmap, develop machine learning models, and establish best practices&mdash;while operating as a stand-alone contributor within the DCX Data Team.
 
 
 Beyond technical delivery, this role will play a pivotal part in making CHANEL US more AI-driven, piloting Generative AI projects, and driving adoption of advanced analytics across teams through effective change management.
 
 
 
 Required tech:
 
 Python, R, Machine Learning, Big Query, SQL, etc.
 
 
 
 What impact you can create at CHANEL:
 
 
 
 
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 Own and execute the data science roadmap for CHANEL US, aligned with digital transformation priorities.
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 Design and implement advanced analytics solutions, including predictive modeling, machine learning, and AI-driven use cases.
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 Lead AI adoption initiatives, introducing innovative approaches and piloting Generative AI projects for business impact while protecting the brand.
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 Drive change management to embed advanced analytics into day-to-day workflows, helping teams embrace technology and new ways of working.
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 Establish data science best practices and frameworks for scalable, production-ready models.
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 Execute end-to-end projects: data preparation, feature engineering, model development, deployment, and monitoring.
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 Implement ML Ops practices for model lifecycle management and scalability.
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 Develop data pipelines and automation workflows, including API integrations for system connectivity.
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 Collaborate cross-functionally with Business teams, legal, Tech, and external partners to integrate solutions into production workflows.
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 Manage stakeholders effectively, ensuring alignment and buy-in across Fragrance &amp; Beauty, Fashion, Watches &amp; Fine Jewelry (WFJ) divisions.
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 Communicate complex concepts simply, delivering clear narratives and actionable recommendations to senior leadership.
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 Promote data storytelling and experimentation (e.g., A/B testing) to validate impact and foster a culture of innovation.
 
 
 
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 You are energized by:
 
 
 
 
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 Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity
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 Data-driven decision making for products and services
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 Excellent project management and communication skills
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 Connecting the dots on pain points, bring a key eye for details and expert problem perception with solutions mindset
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 Ability to translate technical jargon into simple business terms
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 Working in a highly collaborative environment
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 Building strong partnerships across business and technology teams in a global organization
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 Championing change and fostering a culture of accountability and innovation
 
 
 
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 What you will bring to the team:
 
 
 
 
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 Experience with personalization, recommendation of engines, and segmentation
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 API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus
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 Familiarity with Salesforce CRM systems and digital transformation programs
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 Luxury retail or client-centric industries favorable but not required
 
 
 
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 Required Skills &amp; Qualifications
 
 
 
 
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 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
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 Expert-level coding skills in Python or R, with strong experience in developing and deploying machine learning models
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 SQL proficiency is mandatory for data manipulation and querying large datasets
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 Hands-on experience with Google Big Query as a core analytics platform
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 Familiarity with Generative AI frameworks and emerging AI technologies
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 Experience with MLOps tools and version control (e.g., Git)
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 Strong business acumen and ability to influence organizational change
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 Exceptional communication and stakeholder management skills, including the ability to simplify complexity for senior leaders
 
 
 
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 Position Logistics:
 
 
 
 
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 Hybrid work &ndash; required 3 days onsite at CHANEL offices in New York City
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 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science or equivalent
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 Chanel, Inc. reserves the right to edit, change, or make exceptions on designations where circumstances where deemed appropriate.
 
 
 
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 Compensation:
 
 
 
 
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 The anticipated base salary range for this position is $87,500-$190,000. A base salary is one component of the total compensation for this position. Other forms of variable pay [may/will] be offered for this position. Other components [may/will] include bonus potential, benefits, and/or perks.
 
 
 
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 Benefits and Perks:
 
 
 
 
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 Wellbeing resources include dedicated paid time off for wellbeing (2-week August Office Closure) and a Wellbeing fund
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 Family and care giving benefits (inclusive of parental leave, fertility support, MilkStork, and Care.com Membership)
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 Generous paid time off policies to include vacation, holiday, sick and volunteer days
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 401K and other incentives
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 Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts (Health Care &amp; Dependent Care), Health Savings Account and Employee Assistance Program
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 Life insurance, Accidental Death &amp; Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident &amp; Medical, and Commuter Transit &amp; Parking
 
 
 
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 Additional Information:
 
 
 
 Chanel is a private company whose values are grounded in creating conditions for people to perform at their best and feel fulfilled and confident in their work. We offer a unique work environment where individuals are encouraged to better understand the brand, the business, and motivations, so that together we can unlock the possibilities of growth. This is reflected in:
 
 
 
 Diversity and Inclusion:
 
 
 
 
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 At CHANEL, we are intentional in promoting Diversity &amp; Inclusion. We foster respect, empathy, and dignity for all. We believe strongly that the diversity of our people across the full spectrum of human differences is essential to our organisation and the connections we have with each other and our clients.
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 We offer Employee Resource Groups in the US that are voluntary, open to all, employee-led groups formed around a shared identity or lived experience, whose aim is to foster a diverse, inclusive, and equitable community aligned with the values and missions of the communities they support.
 
 
 
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 Chanel Community:
 
 
 
 
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 CHANEL Community empowers our employees to channel their passions, talents and sense of purpose to contribute to and learn from our communities.
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 Employees are encouraged to take time off annually to volunteer through CHANEL Community. CHANEL also matches employee donations to select charitable organizations.
 
 
 
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 Sustainability:
 
 
 
 
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 CHANEL Mission 1.5&deg; is our climate action plan. It is focused on transforming the business in line with the ambitions of the Paris Agreement on climate change to limit the average global mean temperature increase to 1.5 degrees Celsius above preindustrial levels.
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 Employees are encouraged to contribute to our US Sustainability efforts at the corporate level and within the divisions, through organized taskforces and initiatives.
 
 
 
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 Arts and Culture:
 
 
 
 
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 We are committed to extending our legacy of cultural engagement. Global support includes the CHANEL Culture Fund, which supports a select group of leading art culture institutions across the globe, and the CHANEL Next Prize for the next generation of creative talent. US support currently includes Annual sponsorship of the MoMA film program, Tribeca Film Festival programs and Through Her Lens, Support of the Academy Gold Fellowship for Women and Sponsorship of the BAAND Together Dance Festival at Lincoln Center.
 
 
 
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 Fondation Chanel:
 
 
 
 
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 Since 2011, Fondation CHANEL&rsquo;s mission is for women and girls to be free to shape their own destiny.  Through multi-year partnerships with financial and technical support, Fondation CHANEL is committed to improving the safety and autonomy of women and adolescent girls around the world, impacting over a million women and girls in its first 10 years.
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 For more information, please navigate to the Fondation Chanel website here
 
 
 
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 Career and Leadership Development:
 
 
 
 
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 We have dedicated in-house teams focused on supporting the onboarding of employees, developing leadership skills via custom programs like Imagine Chanel People, Heart of Leadership and group and individual coaching, and blended online and live classes offered on our Bloom platform and by skilled trainers, such as Shape Your Career, to develop career building skills.
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 Chanel, Inc. benefits and perks are dependent on eligibility and subject to modification by Chanel at any time.
 
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Data Scientist

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