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PrizePicks

<div><div>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</div>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.
<h1 class="jobSectionHeader">
What you'll do:</h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader">What you have:</h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes 
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader">Where you'll live:</h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader">Working at PrizePicks:</h1>

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

First Extension: 6/11/2026<div><h1 class="jobSectionHeader"> 
Benefits you'll receive:</h1>

In addition to your great compensation package, full-time employees will be eligible for the following perks:
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div></div>

Senior Data Science Manager - Marketing Science

Beazer Homes

<div>Overview:
<div>
Company Overview</div><div>
Built on a solid, family foundation, we&rsquo;ve been building homes across the United States for more than 25 years, but our history started way before that in the 1600s with an English builder named George Beazer. Nine generations later, the Beazer family and name continues to stand for quality homebuilding, craftsmanship, and innovation. Our focus is on individual communities. We strategically build each community to be near places that our customers care about, so that a home is more than a house.</div><div></div><div> 
Job Summary</div><div>
The Director of Digital Marketing &amp; Customer Experience is accountable for Beazer&rsquo;s end-to-end digital customer experience and the intelligence that powers it. This role owns how customers experience Beazer across b.com, email, and SMS, and how analytics and AI are used to improve relevance, clarity, and performance over time. This leader sets the vision, standards, and strategy for Beazer&rsquo;s digital ecosystem&mdash;ensuring experiences are intuitive, differentiated, and measurable&mdash;while leading a team responsible for digital execution, lifecycle messaging, and analytics. The Director translates data and emerging capabilities into practical decisions that improve customer confidence and business outcomes.</div> 
<div></div>
Primary Duties &amp; Responsibilities:

Digital Experience<ul><li>
Serve as the executive owner of b.com as Beazer&rsquo;s digital front door, defining experience vision, standards, and performance expectations</li><li>
Lead digital roadmap, prioritization, and optimization strategy in partnership with IT and Brand to ensure experiences clearly communicate value and guide customers to action</li></ul>
Email &amp; SMS (Lifecycle Experience)<ul><li>
Own email and SMS as lifecycle experience channels, defining standards for cadence, personalization, tone, and fatigue management</li><li>
Ensure lifecycle messaging reinforces and integrates with digital and in-person experiences rather than fragmenting the customer journey</li><li>
Maintain accountability for experience quality and performance contribution across lifecycle channels</li></ul>
Conversion &amp; Funnel Performance
Own digital conversion performance across key customer funnel stages (visit lead appointment<ul><li> sale) in partnership with Sales and Brand</li><li>
Define conversion benchmarks, prioritization, and improvement roadmap</li><li>
Ensures alignment between traffic-driving efforts (Brand/Paid Media) and on-site conversion experience</li><li>
Drive continuous improvement in lead quality, friction reduction, and customer progression</li></ul>
Analytics &amp; Customer Insights<ul><li>
Establish enterprise measurement frameworks across b.com, email, and SMS to evaluate customer journey performance and business impact</li><li>
Lead journey analysis, performance diagnostics, and insight generation to inform marketing, customer experience, and sales decisions</li><li>
Advance the organization from reporting to decision intelligence by translating analytics into actionable recommendations</li></ul>
AI Strategy &amp; Enablement<ul><li>
Own the responsible application of AI across digital experience, messaging, and analytics</li><li>
Identify and prioritize high-value AI use cases including personalization, segmentation logic, optimization, and insight generation</li><li>
Establish AI governance, guardrails, and prioritization in partnership with IT and data teams</li></ul>
Salesforce Marketing Cloud Platform Partnership<ul><li>
Serve as the senior business owner of Beazer&rsquo;s strategic partnership with Salesforce Marketing Cloud</li><li>
Ensure Salesforce supports lifecycle strategy, data integration, analytics, and AI enablement</li><li>
Partner with Marketing Automation on roadmap direction and platform evolution</li></ul>
Martech &amp; Data Strategy<ul><li>
Own marketing technology strategy, integration priorities, and data model direction in partnership with IT</li><li>
Ensure tools, platforms, and data flows support scalable personalization, measurement, and optimization</li><li>
Drive vendor prioritization and capability roadmap aligned to business impact</li></ul>
Experimentation &amp; Optimization<ul><li>
Own digital experimentation strategy and governance across web and lifecycle channels</li><li>
Establish testing roadmap, prioritization framework, and velocity expectations</li><li>
Ensure structured A/B and multivariate testing informs experience, messaging, and conversion improvements</li><li>
Embed a test-and-learn culture across the digital team.</li></ul>
Team Leadership<ul><li>
Lead and develop a team across digital experience, email/SMS, and analytics, including:<ul><li>
Web &amp; AI Marketing Manager: b.com execution, optimization, and experimentation</li><li>
Email &amp; SMS Marketing Manager: lifecycle messaging execution and operations</li><li>
Marketing Analytics Manager: measurement, insights, and journey analysis</li></ul></li><li>
Establish operating standards, drive cross-functional collaboration, and build capability across the digital organization</li><li>
Performs other duties as assigned</li></ul>
Education &amp; Experience:
<ul><li>Bachelor&rsquo;s degree in Marketing, Business, Analytics, or related field required; MBA or advanced degree preferred</li><li>
8&ndash;10 years of progressive experience in digital marketing, digital experience, or customer experience, with at least 3 years in a leadership role</li><li>
Proven experience owning and optimizing customer-facing digital platforms (e.g., websites) and lifecycle communication channels (email/SMS)</li><li>
Strong background in marketing analytics, customer journey analysis, and performance measurement, with demonstrated ability to influence business decisions</li><li>
Experience working with marketing technology ecosystems, including marketing automation platforms; Salesforce Marketing Cloud experience strongly preferred</li><li>
Experience identifying and applying AI use cases within marketing or digital experience environments, with understanding of governance and responsible implementation</li><li>
Demonstrated success leading cross-functional initiatives and developing teams across digital, lifecycle, and analytics disciplines</li></ul>
Skills &amp; Abilities:
<ul><li>Strong digital experience leadership with the ability to define vision, standards, and strategy across web and lifecycle channels</li><li>
Deep understanding of customer experience design across b.com, email, and SMS, with focus on clarity, relevance, and conversion</li><li>
Advanced analytics capability with experience building measurement frameworks and translating data into decisions</li><li>
Ability to move organizations from reporting to insight-driven decision-making through clear, actionable recommendations</li><li>
Working knowledge of AI applications in personalization, segmentation, optimization, and insight generation, with sound judgment on responsible use</li><li>
Experience leading marketing technology ecosystems and partnering with IT and data teams to evolve platforms and integrations</li><li>
Strong understanding of marketing automation, CRM, and digital analytics tools</li><li>
Excellent executive communication and influencing skills across marketing, sales, brand, and technology teams</li><li>
Proven ability to lead and develop high-performing, cross-functional teams</li><li>
Strong prioritization and decision-making skills balancing innovation, customer needs, and measurable outcomes</li></ul>
Physical Requirements:
<div>
The work environment for this role is primarily office-based, with most tasks completed on a computer. However, the position involves regular travel to divisions and communities, which may include air travel, site visits, industry events, off-site meetings, and field operations oversight. Travel is a core component of the role, and the individual should be comfortable working across multiple markets and transitioning between on-site and remote work. This role offers a balance between a stable office environment and the dynamic nature of field marketing leadership.</div></div>

Digital Marketing & Customer Experience Dir

The Home Depot

<div>
 Req184111
 
 
 
 Position Purpose
 
 
 
 A Logistics Sr. Analyst uses analytical methods and a variety of tools to understand, predict, improve and/or control Logistics operations and processes. Sr. Logistics Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support Logistics management. Solves problems by considering courses of action within the framework of business goals and standards. Operates with minimal supervision and once given general assignments, prioritizes and executes tasks. Provides and communicates recommendations to upper management. Mentors and guides Logistics Analysts in daily work tasks. Must be a self starter, detail oriented, able to support and lead multiple projects, possess excellent communication skills, work well with a team, interact with multiple levels and functions with the Logistics organization, and able to manage vendor/business relationships. - Daily project activity coordination for multiple large scale initiatives such as Supply Chain Sync, Manual Floor Load, and Breakpack enhancement Implementation. - Developing and executing score carding for project and key organizational metrics to evaluate the performance to business case of those projects. - Performs forecasting, development and implementation of process improvement opportunities associated with assigned projects - Performs analysis in support of requested business and systemic enhancements which will result in cost savings to the company
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 25% Utilizes quantitative skills to create and analyze reports to support business execution. Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs
 </li>
 <li>
 25% Develops business tools and solutions based on knowledge, product or technology. Identifies Logistics process improvement opportunities through strategic thinking, critical thinking and analysis
 </li>
 <li>
 20% Provides recommendations to senior management. Mentors and guides Logistics Analysts
 </li>
 <li>
 20% Performs data management through data mining/data modeling/data analysis/cost/benefit analysis/process mapping/%/or problem analysis while executing day to day processes related to area of responsibility. Develops &amp; maintains cost estimates, forecasts, and cost models. Supports business through ad-hoc queries &amp; maintains reports
 </li>
 <li>
 10% Manages vendor/business partner relationships
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position reports to Manager of Sr Manager
 </li>
 <li>
 This position has no 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>
 Industrial Engineering, Business Administration, Math or Finance Degree Master's Degree
 </li>
 <li>
 Experience with Six Sigma or other Process Improvement Methodology
 </li>
 <li>
 Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio.
 </li>
 <li>
 Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis, Visio-Process Mapping Skills
 </li>
 <li>
 Project Management Skills
 </li>
 <li>
 Finance/CBA/Capital Budget Experience
 
 
 </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>
 3
 
 
 </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>
 None
 </li>
 </ul>
</div>

Sr. Logistics Analyst

Life Balance Pain Care

Job Overview We are seeking a dynamic and innovative Social Media Manager and Content Creator to elevate our brand presence across digital platforms. This energetic role combines strategic social media management with creative content development to engage audiences, boost brand awareness, and drive digital marketing success. The ideal candidate will be passionate about storytelling through visual and written content, possess a keen eye for analytics, and thrive in a fast-paced environment. This paid position offers an exciting opportunity to shape our online voice and connect authentically with our community.Responsibilities<ul><li>Develop and execute comprehensive social media strategies aligned with brand goals across platforms such as Facebook, Instagram, Twitter, LinkedIn, and TikTok.</li><li>Create engaging, high-quality content including graphics, videos, photography, and written posts using tools like Adobe Creative Suite (Photoshop, Illustrator) and video editing software.</li><li>Manage daily social media activities using scheduling tools such as Hootsuite and Buffer to ensure consistent posting and engagement.</li><li>Monitor social listening channels to gather insights on audience sentiment, trending topics, and competitor activity; leverage this data to refine content strategies.</li><li>Implement SEO best practices by conducting keyword research to optimize content for search visibility and web analytics to track performance metrics via Google Analytics and web analytics tools.</li><li>Oversee paid advertising campaigns on Facebook and other platforms to maximize reach and engagement through targeted advertising strategies.</li><li>Foster relationships with influencers, media outlets, and community partners to enhance brand visibility through public relations efforts.</li><li>Proofread all content meticulously to maintain brand voice consistency and accuracy before publishing.</li><li>Analyze campaign performance regularly, prepare reports on key metrics, and adjust tactics accordingly for continuous improvement.</li></ul>Qualifications<ul><li>Proven experience in social media management, content creation, digital marketing, or related roles with a strong portfolio demonstrating creative work.</li><li>Proficiency in graphic design software such as Adobe Photoshop, Illustrator, and Adobe Creative Suite; experience with video editing is highly desirable.</li><li>Familiarity with social media management tools like Hootsuite and Buffer for scheduling and analytics tracking.</li><li>Knowledge of SEO principles, keyword research techniques, web analytics (Google Analytics), and social listening tools.</li><li>Strong understanding of branding principles, social media marketing strategies, e-commerce integration, and relationship management.</li><li>Excellent proofreading skills with an eye for detail to ensure high-quality content output.</li><li>Ability to manage multiple projects simultaneously while meeting deadlines in a fast-paced environment.</li><li>Experience with photography or videography is a plus; familiarity with Facebook Advertising campaigns is preferred. Join us in shaping compelling digital narratives that inspire action! This paid role offers an empowering environment where your creativity fuels impactful storytelling while honing your skills in the ever-evolving landscape of social media marketing.</li></ul>Pay: Up to $400.00 per weekBenefits:<ul><li>Flexible schedule</li></ul>Work Location: Hybrid remote in Atlanta, GA 30312

Social Media Manager and Content Creator

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

Associate Data Scientist, Marketing

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

Associate Data Scientist

<div>
 Req181501
 
 
 
 Position Purpose
 
 
 
 The Product Manager (PM) position is responsible for delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the production of quality products. Within their designated enterprise product line, PMs focus on delivering incremental value by driving product changes and working closely with a team of developers, designers, and business partners. They support in-depth business reviews, communicate and present across all levels of the organization, and support cross-functional product teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 40% Strategy &amp; Planning:
 </li>
 <li>
 Gains a thorough understanding of customer and associate needs, both existing and potential, and uses that knowledge to help deliver enterprise products that provide Home Depot customers and associates with an unparalleled shopping experience
 </li>
 <li>
 Translates business goals and end user needs into product strategy; communicates direction and product priorities to the development team, other matrixed teams, and third-party partners
 </li>
 <li>
 Identifies goals, metrics, and analytics to determine product value; continually making recommendations and refinements to the product backlog based on learnings
 </li>
 <li>
 Conduct end user research to help identify user stories and help determine Minimum Viable Product (MVP)
 </li>
 <li>
 Partners with Finance to understand financial needs and assists in the creation of business plans for new opportunities
 </li>
 <li>
 Monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class
 </li>
 <li>
 Evaluates research and market analysis on industry innovations and technology platforms to recommend the best possible solution
 </li>
 <li>
 30% Delivery &amp; Execution:
 </li>
 <li>
 Ensure product is aligned with company, stakeholder and end-user priorities to drive sales, improve efficiency, and improve customer satisfaction
 </li>
 <li>
 Documents, reviews and ensures that all quality and change control standards are met
 </li>
 <li>
 Formulates, tests and refines assumptions and hypotheses through user research and testing
 </li>
 <li>
 Creates, prioritizes and accepts user stories; incorporate them into release planning
 </li>
 <li>
 Makes product decisions that drive value on a daily basis
 </li>
 <li>
 Identifies pros, cons, issues, obstacles, dependencies and value associated with features and enhancements
 </li>
 <li>
 Participates in standups, iteration planning sessions, product demos and retrospectives
 </li>
 <li>
 Condenses complex technical concepts into non-technical language for stakeholders
 </li>
 <li>
 30% People:
 </li>
 <li>
 Fosters collaboration with team members (Engineering, User Experience Designers, etc.) to drive value and collectively identify and resolve impediments
 </li>
 <li>
 Acts as a proponent of modern software development practices
 </li>
 <li>
 Advocates for the end user and stakeholder by empathizing with and understanding user needs and becoming the domain expert
 </li>
 <li>
 Regularly works with the product team to continuously assess progress, disseminate lessons learned, and understand next steps
 </li>
 <li>
 Manages cross functional team and stakeholder expectations to execute on product strategy; provides education to requestors to determine prioritization based on tangible benefits and/or user experience
 </li>
 <li>
 Exhibit active listening, facilitate sessions, and clearly communicate at all levels (Executive Leadership Team, store associates, etc.) and in all formats the product's long term strategy which is used to prioritize short-term action
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 Typically reports to the Product Management Manager or Sr. Manager.
 
 
 </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>
 1-3 years of relevant work experience
 </li>
 <li>
 Experience working as a Product Manager in a modern software development based enterprise environment
 </li>
 <li>
 Demonstrated experience with modern software development product management practices and agile methodologies, specifically the extreme programming (XP) principles of paired programming, test driven development, and continuous deployment
 </li>
 <li>
 Experience working in a fast paced, fluid environment where priorities shift on a regular basis
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 Experience communicating with and influencing functional and technical team members at all levels in the organization
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 Experience working as part of a collaborative, cross-functional, modern software design and development team
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 Experience creating, prioritizing and accepting user stories
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 Experience conducting user research and testing to understand needs
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 Experience identifying goals, metrics and analytics to measure product value
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 Experience conducting competitive research and analysis
 
 
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 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 1
 
 
 </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
 
 
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 </ul>
 
 Competencies
 
 
 
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 <li>
 Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
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 Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
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 Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
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 Cultivates Innovation: Creating new and better ways for the organization to be successful
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 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
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 Drives Results: Consistently achieves results, even under tough circumstances
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 Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
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 Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
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 <li>
 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
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 Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics
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 <li>
 Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
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 Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution
 </li>
 <li>
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 </li>
 </ul>
</div>

Product Manager

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