analyst, data analytics (all levels) Jobs in Atlanta United States

analyst, data analytics (all levels)

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sr. data analyst

data scientist

The Home Depot

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; 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>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</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; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically 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>
Masters or PHD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of work experience in developing machine learning / AI models to solve business problems</li><li>
3+ years of experience in business intelligence and analytics</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>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Working knowledge of Microsoft Excel and Power Point</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>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</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>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</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>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist

Freeman

<div><div><div><div><div><h2 class="jobSectionHeader">About Us</h2>
</div><div><div>
Freeman is a global leader in events, on a mission to redefine live for a new era. With a data-driven approach and the industry&rsquo;s largest network of experts, Freeman&rsquo;s insights shape exhibitions, exhibits, and events that drive audiences to action. The integrated full-service solutions leverage a 97-year legacy in event management as well as new technologies to deliver moments that matter.</div>
</div></div><div><div><h2 class="jobSectionHeader">
Summary</h2>
</div><div><div>
We are seeking a trained Associate Data Scientist with a strong foundation in mathematics and business acumen, ideally holding a Math/Statistics major with 3+ years of relevant work experience in either Finance, Operations, Marketing or Data Analytics teams. This individual will leverage analytical, statistical, and machine learning techniques to drive data-driven insights that can facilitate actionable decision-making. The ideal candidate will have at least three years of experience in events / B2B business / retail / rental / tech / fintech categories, enabling them to understand unique business challenges and opportunities in these fast-paced environments.</div> 
<div></div>
<div>
This position will support our Technology Services team. It is eligible to work a hybrid schedule, generally requiring work in-office 2-3 days per week. The ideal candidate will be based out of any of the following locations: 
<ul><li>Dallas, TX</li><li>Atlanta, GA</li></ul></div></div></div><div><div><h2 class="jobSectionHeader">
Essential Duties &amp; Responsibilities</h2>
</div><div><ul><li>Data Collection and Preparation: Gather, clean, and preprocess large volumes of structured and unstructured data from diverse sources.</li><li>Advanced Analytics: Apply statistical modeling, and predictive analytics to uncover trends, forecast demand, optimize pricing, and improve customer experience.</li><li>Business Strategy Support: Translate complex analytical findings into actionable business insights and recommendations, supporting e-com, marketing, operations, sales strategy and inventory planning.</li><li>Collaboration: Work closely with cross-functional teams, including sales, marketing, operations, finance, and data engineering, to create and implement well thought through, accurate and scalable solutions.</li><li>Process Automation: Develop and deploy automated data pipelines and reporting tools to streamline analytics workflows and enhance decision speed.</li><li>Communication: Present findings to both technical and non-technical stakeholders using clear visualizations, reports, and dashboards.</li><li>Continuous Learning: Stay abreast of the latest data science tools, technologies, and industry trends to maintain a competitive edge.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Education &amp; Experience</h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Mathematics (or related field) with an MBA preferred.</li><li>3+ years of experience as a Data Scientist or similar role in the retail, restaurant, or event industry.</li><li>Proficiency in Advanced Excel (Power Pivot, Power Query), Power BI, Python / R and SQL.</li><li>Strong quantitative and problem-solving skills, with the ability to interpret complex data and derive business value.</li><li>Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.</li><li>Demonstrated ability to lead projects, collaborate with diverse teams, and drive initiatives that deliver measurable impact.</li><li>Experience managing analytics projects from conception to implementation, with a focus on delivering business value.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Travel Requirements</h2>
</div><div><div>Travel up to 25%</div></div></div><div><div><h2 class="jobSectionHeader">
What We Offer</h2>
</div><div><div>
Freeman provides benefits that aim to empower our people and their families to thrive mentally, physically, and financially. These are a handful of the types of programs and benefits our full-time people may be eligible for. There may be some variances in specific benefits across regions.</div>
<ul><li>Medical, Dental, Vision Insurance</li>
<li>Tuition Reimbursement</li>
<li>Paid Parental Leave</li>
<li>Life, Accident and Disability</li>
<li>Retirement with Company Match</li>
<li>Paid Time Off</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Diversity Commitment</h2>
</div><div><div>
At Freeman, our commitment to diversity and inclusion is helping us to create not only a great place to work, but also an environment where our employees, our customers and our communities around the world can reach their goals and connect with each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status and other characteristics protected by federal, state or local laws.</div> 
<div></div>
<div>
#LI-Hybrid</div></div></div></div></div></div>

Associate Data Scientist

<div>
 Req167506
 
 
 
 Position Purpose
 
 
 
 The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
 
 As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
 </li>
 <li>
 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; 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>
 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
 </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; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position typically 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>
 Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
 </li>
 <li>
 4+ years of experience in business intelligence and analytics
 </li>
 <li>
 Working knowledge of Microsoft Excel and Power Point
 </li>
 <li>
 Experience 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>
 Proficient utilizing statistical techniques to identify key insights that help solve business problems
 </li>
 <li>
 Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
 </li>
 <li>
 Demonstrated experience 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>
 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>
 Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
 </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>
 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
 </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>
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 </li>
 <li>
 Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
 </li>
 </ul>
</div>

Data Scientist, Online

<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>

Senior Data Scientist, Online

Guidehouse

<div>Job Family:
Data Science Consulting 
Travel Required:
Up to 10% 
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:<ul><li>
Lead quantitative analysis and modeling of real-world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.</li><li>
Lead analyses to estimate chronic disease population-level prevalence and incidence leveraging real-world data.</li><li>
Design, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.</li><li>
Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL.</li><li>
Utilize DataBricks and Snowflake for scalable data processing and analytics.</li><li>
Collaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform CDC policy and strategy.</li><li>
Prepare scientific reports, presentations, and publications for both technical and non-technical audiences.</li><li>
Ensure data quality, documentation, and reproducibility across all analytic workflows.</li><li>
Support onboarding and training of new team members as needed.</li></ul> 
What You Will Need:<ul><li>
Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field.</li><li>
Minimum FIVE (5) years of experience in health data science and epidemiology, including deep experience analyzing CMS or commercial claims data, clinical data, or other large health datasets to generate epidemiological population-level estimates.</li><li>
Strong proficiency in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL, including large data set manipulation.</li><li>
Demonstrated experience with statistical modeling, machine learning, and data visualization.</li><li>
Experience with DataBricks and/or Snowflake.</li><li>
Strong background in population-level public health, with experience in scientific writing and presentation.</li><li>
Excellent communication and collaboration skills.</li><li>
Ability to work in a fast-paced environment independently to produce high-quality deliverables on-time</li></ul> 
What Would Be Nice To Have:<ul><li>
Experience with generative AI, NLP, or advanced analytics in healthcare settings.</li><li>
Deep experience in biostatistics and using statistical platforms including SAS and R</li><li>
Familiarity with public health surveillance systems, federal health programs, or similar public sector environments.</li><li>
Experience in chronic disease surveillance, preferably neurological conditions</li><li>
Prior work in consulting and working with multi-disciplinary teams and stakeholder engagement.</li></ul>
The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:<ul><li>
Medical, Rx, Dental &amp; Vision Insurance</li><li>
Personal and Family Sick Time &amp; Company Paid Holidays</li><li>
Position may be eligible for a discretionary variable incentive bonus</li><li>
Parental Leave and Adoption Assistance</li><li>
401(k) Retirement Plan</li><li>
Basic Life &amp; Supplemental Life</li><li>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</li><li>
Short-Term &amp; Long-Term Disability</li><li>
Student Loan PayDown</li><li>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</li><li>
Skills Development &amp; Certifications</li><li>
Employee Referral Program</li><li>
Corporate Sponsored Events &amp; Community Outreach</li><li>
Emergency Back-Up Childcare Program</li><li>
Mobility Stipend</li></ul>
About Guidehouse
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</div>

Epidemiology Data Scientist

<div>Position Purpose:
We are transforming how online merchandising decisions are made through the innovative use of data-driven optimization, econometrics, and advanced causal modeling. This is a highly prioritized and visible area of our business, and we are seeking a talented Lead Data Scientist to take charge of the end-to-end implementation of our merchandising science initiatives. This critical role involves everything from initial architecture and experimentation through to the governance of production-level models. You will be a key player in shaping the future of our online business, ensuring that our strategies are built on a solid foundation of data and advanced analytics.
Join a team that thrives on a collaborative, nurturing, and growth-focused culture. We are passionate about learning and continuously challenging ourselves to solve the most complex problems in e-commerce. You will be part of a supportive environment where your ideas are valued, and your professional development is a top priority.
The Lead 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 by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. 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, this role leads data science communities across several business units. 
Key Responsibilities:<ul><li>
30% Solution Development - Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
25% Project Management &amp; Team Support - Lead and manage large and complex projects and teams; 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; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units</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 technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage</li><li>
25% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to manager or above</li><li>
This position has 0 Direct Reports and leads/manages projects</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><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems</li></ul> 
Preferred Qualifications:<ul><li>
PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
10+ years of experience in business intelligence and analytics</li><li>
Expertise in a modern scripting language (preferably Python)</li><li>
Expertise running queries against data (preferably with Google BigQuery or SQL)</li><li>
Advanced knowledge of Microsoft Office Suite</li><li>
Expertise with data visualization software (preferably Tableau)</li><li>
Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</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>
10</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>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</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>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li><li>
Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications</li></ul></div>

Lead Data Scientist, Online Merchandising

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; 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>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</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; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position typically 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>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience 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>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience 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>
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>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</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>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</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>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

DATA SCIENTIST - SUPPLY CHAIN

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