lead 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

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

TransUnion

<div>TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
Team Overview
At TransUnion, this team reports to a Director of Data Science &amp; Analytics, playing an integral role by working end-to-end with financial services clients, fostering consultative relationships that enable them to deliver impactful solutions. This team specializes in building both custom and generic models tailored to each client&rsquo;s unique needs, ensuring that every engagement is as effective as possible.&amp;#xa;&amp;#xa;This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview and Core Responsibilities
<ul><li>You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for B2B customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto &amp; mortgage lenders, collections agencies and retail banks.
</li><li>You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
</li><li>You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Pig on Linux, PC, and mainframe computing platforms.
</li><li>You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
</li><li>You will develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
</li><li>You will identify strategies and opportunities for customers to test and adopt TransUnion&rsquo;s analytic products and services.
</li><li>You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
</li><li>You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
</li></ul>Required Knowledge and Experiences
<ul><li>Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
</li><li>7+ years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
</li><li>Strong analytical, critical thinking, and creative problem-solving skills
</li><li>Advanced programming skills; proficiency with R/Python and SQL; experience using other programming and data manipulation languages preferred (Hive, Pig, C/C++, Java); high level of familiarity with Microsoft Office tools
</li><li>Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
</li><li>Strong project management skills with the ability to manage multiple assignments effectively
</li><li>Ability to travel 10-20%
</li></ul>We&rsquo;re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we&rsquo;re happy to support your career development and growth in:
<ul><li>Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least two (2) years of professional experience performing advanced analytic work in Financial Services, consumer credit, or a related industry
</li><li>Familiarity with credit bureau data and business practices
</li><li>Experienced in managing full life cycle of credit risk models and look alike models for consumer financial services industry, including model design, development, and deployment, monitoring, and validation
</li><li>Operates independently in a complex and dynamic, matrixed environment
</li><li>Experienced working in a company with a global presence
</li><li>Experience with modern &quot;big data&quot; frameworks (Hadoop, Spark, cloud)
</li></ul>Benefits that support every part of your life:
At TransUnion, we design benefits to help you feel well, do well, and plan well&mdash;from day one.
For Your Health : Enjoy day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose tax‑advantaged HSA and FSA accounts to make everyday care more affordable.
For Your Protection : We&rsquo;ve got your back with company‑paid basic life and AD&amp;D, optional voluntary life and AD&amp;D for you and your family, and short‑ and long‑term disability. You can also opt into a legal plan, pet insurance, and travel accident coverage.
For Your Family : From adoption assistance and fertility planning coverage to caregiver support, we&rsquo;re here for every chapter. Access Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
For Your Future : Build toward what&rsquo;s next with our 401(k) with employer match and Employee Stock Purchase Plan (ESPP). Tap financial wellness resources, career coaching, and optional long‑term care insurance to plan confidently.
For You : Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time off for nonexempt employees, up to 12 paid holidays per year, commuter benefits, employee discounts, charitable gift matching, and paid volunteer time off, plus corporate volunteer events that make it easy to give back.
For Your Wellness : Access 24/7 support including professional therapy, coaching, and emotional well‑being programs alongside guided meditation and resources that support physical, mental, social, and financial wellness.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion&rsquo;s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com .
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company&rsquo;s reputation are also essential expectations of this position.
<h2 class="jobSectionHeader">Pay Scale Information:
</h2>The U.S. base salary range for this position is $90,000.00 - $150,000 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual&rsquo;s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion&rsquo;s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.&amp;#xa;
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good , which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver&rsquo;s seat of their professional development&mdash; while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that&rsquo;s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence. 
Be a part of our Workforce for Good &ndash; you&rsquo;ll work with great people, pioneering products and cutting-edge technology.
TransUnion's Internal Job Title:
Sr Consultant, Data Science and Analytics
Company:
TransUnion LLC</div>

Lead Data Scientist, Financial Services Consulting

Sigmoid

<div>Role: Principal Data Scientist - Commercial Analytics

Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science

Location: NY / NJ (USA)

Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams &amp; own outcomes. You will nurture key client relationships to ensure client account success

Desired Experience :
<ul>
<li>8&ndash;12 years of overall experience.</li>
<li>3+ years in consulting or client-facing analytics roles.</li>
<li>3+ years of experience in CPG or adjacent commercial analytics environments.</li>
<li>Proven experience engaging with senior stakeholders and leading client conversations.</li>
<li>Strong track record in data science, statistics, and machine learning</li></ul> 


Role &amp; Responsibilities :
<ul>
<li>Develop and refine analytics &amp; ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions</li>
<li>Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).</li>
<li>Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders</li>
<li>Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.</li>
<li>Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI</li>
<li>Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.</li>
<li>Perform a role that involves a combination of hands-on contribution and customer engagement</li>
<li>Contribute to organization building through training, mentoring, and developing repeatable analytic approaches</li></ul> 
 
Primary Skills (Mandatory)
<ul>
<li>Strong foundation in ML and statistical concepts.</li>
<li>Proficiency in SQL, Python, and PySpark.</li>
<li>Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.</li>
<li>Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.</li>
<li>Ability to convert rigorous analysis into strategic recommendations.</li>
<li>Strong project management, communication, and team leadership skills</li>
<li>Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space</li></ul> 

<h4 class="jobSectionHeader">
 Secondary Skills (Good to have):</h4>
<ul><li>Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.</li>
<li>Data engineering / MLOps experience.</li>
<li>Dashboarding experience with Power BI or Tableau</li>
<li>Exposure to Agentic AI / LLMs or any other Gen AI capabilities</li></ul></div>

Principal Data Scientist

Intuit

<div><h2 class="jobSectionHeader">Overview</h2><div>
Intuit SBSEG Data Science has an exciting opportunity to be part of the fast-growing Sales and Mid-market Data Science Capabilities team that plays a critical role in driving growth in Sales with a long-term winning strategy. Disrupt the small business mid-market is one of Intuit&rsquo;s Big Bet initiatives.</div> 
<div></div>
<div>
The Sales Data Science Capabilities team is responsible for (1) Building AI/ML Native Capabilities such as product recommendation and lead scoring models for the Sales teams to maximize conversions, and enhance Seller productivity and Efficiency; 2) Providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing;</div> 
<div></div>
<div>
We are looking for a Senior Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading data science support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.</div> 
Responsibilities<ul>
<li>
Develop ML models and LLM applications to address business problems.</li>
<li>Collaborate with data scientists and data engineers across different analytics teams to work on cross-functional projects or develop analytics capabilities.</li>
<li>Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.</li>
<li>Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.</li>
<li>Proactive explore and identify new business opportunities to help business partners to achieve business goals.</li>
<li>Communicate data and insights effectively to business partners of all levels including the senior leadership team.</li>
<li>Coach and develop junior data scientists on the team.</li></ul> 
Qualifications<ul>
<li>
10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related analytics fields. Experience in B2B industry is a plus.</li>
<li>Highly proficient in SQL, Python and data story telling.</li>
<li>Multiple years of Hands On experience in developing and deploying AI/ML models, LLMs, etc.</li>
<li>Ability to create analytical framework for solving complex business problems with proven track record.</li>
<li>Ability to manage multiple projects simultaneously to meet objectives.</li>
<li>Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.</li>
<li>Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</div>

Senior Staff Data Scientist (Global Business Solutions Group)

The Home Depot

<div>Position Purpose:
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team</li><li>
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 

Physical Requirements:<ul><li>
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.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
</li><li>6+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li></ul> 

Minimum Education:<ul><li>
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.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
5</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Sr. Data Scientist – Finance Analytics, Automation & AI (AAA)

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

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