sr. data scientist – finance analytics, automation & ai (aaa)

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senior data analyst

Prestige Staffing

<div>
 
 Senior Data Analyst &ndash; Forecasting &amp; Yield Optimization
 
 
 
 
 Pay
 
 
 
 $125,000 - $160,000 annually, dependent on experience and location
 
 
 
 Location
 
 
 
 New York City, or Atlanta
 
 
 
 Summary
 
 
 
 We are seeking an experienced Senior Data Analyst with 5&ndash;8 years of expertise in forecasting and yield management to develop models that maximize performance across our publisher network. This role involves predicting attribution outcomes, optimizing inventory yield, and delivering actionable insights through advanced analytics and visualization tools. The ideal candidate will collaborate with cross-functional teams to embed models into the platform, contributing directly to revenue growth and operational efficiency in the hospitality and travel adtech space.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 5&ndash;8 years of professional experience in data science, forecasting, or yield management
 </li>
 <li>
 Expertise in time series forecasting techniques (ARIMA, Prophet, Neural Networks) and optimization algorithms
 </li>
 <li>
 Proficiency in SQL, Python and/or R for data analysis and modeling
 </li>
 <li>
 Experience integrating large datasets from multiple sources, including attribution and performance metrics
 </li>
 <li>
 Strong communication skills to translate technical outcomes into business impact
 </li>
 <li>
 Ability to partner effectively with product, engineering, and business teams
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and refine forecasting models to predict attribution outcomes by hotel, publisher, and time period
 </li>
 <li>
 Build yield optimization frameworks to allocate publisher inventory efficiently and maximize client ROI
 </li>
 <li>
 Integrate data from attribution, publisher metrics, seasonality, and external signals for comprehensive analysis
 </li>
 <li>
 Deliver reporting and insights to guide decision-making across teams
 </li>
 <li>
 Create dashboards and visualizations to present data findings clearly to non-technical stakeholders
 </li>
 <li>
 Collaborate with product and engineering teams to embed models into the platform for scalable deployment
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and equity options
 </li>
 <li>
 Comprehensive medical, dental, and disability insurance
 </li>
 <li>
 401(k) match up to 4%
 </li>
 <li>
 Hybrid work environment with flexible scheduling
 </li>
 <li>
 15 personal days plus 10+ public holidays
 </li>
 <li>
 Monthly health and wellness stipend
 </li>
 <li>
 Casual, collaborative, and dog-friendly office culture in the heart of Flatiron or remote work options
 
 
 </li>
 </ul>
 #Dice #ZR-Pro
 
 
</div>

Sr Data Analyst

The Home Depot

<div>Position Purpose:<div>
The Lead Data Analyst will serve as a principal strategic partner and technical anchor for the CX Analytics team supporting The Home Depot's Pro Product team. This individual will own the end-to-end analytics lifecycle for critical Pro workstreams, driving active engagement with stakeholders to shape business requirements and turn complex specifications into high-quality deliverables.</div><div></div><div>
Acting as a trusted advisor to leadership, product managers, and UX designers, the Lead Analyst will define data requirements, architect reporting frameworks, and translate complex datasets into compelling, actionable narratives that directly influence the Pro Product strategy. Utilizing expert-level SQL, Python, Tableau, and emerging AI technologies, this role will champion data-driven problem-solving, spearhead innovation (including AI/GenBI integration), and establish the gold standard for analytics governance and knowledge management across the team.</div> 
Key Responsibilities:<ul><li>
20% - Business Collaboration - Leverage extensive business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams. Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.</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. Collaborate with managers and team in the distribution of workload and resources. Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics. Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics. Ensure the team comprehends and applies the established processes and standards and mentor team on development.</li><li>
30% - Solution Development - 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. Develops solutions to transform data into useful, actionable information.</li><li>
25% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs. Provide technical education on advanced analytics to analytics community. Drive analytics teams to get matured in predictive and prescriptive analytics.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Manager</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% 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 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li><div>
Proven experience in a technical project leadership and strategic ownership role.</div></li><li><div>
Expert-level proficiency with SQL and complex script development.</div></li><li><div>
Advanced experience architecting and deploying reports in Tableau.</div></li><li><div>
Strong proficiency in Python for data manipulation, statistical analysis, and automation.</div></li><li><div>
Demonstrated enthusiasm and practical knowledge of leveraging AI/Machine Learning applications for business insights.</div></li><li><div>
Exceptional data storytelling skills with the ability to translate technical findings for non-technical leadership.</div></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>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Lead Data Analyst - CX Analytics (Pro Product)

<div><div>Position Purpose:
The Senior Analyst, Quantitative Research supports the Banner Pricing Team within Orange Apron Media by producing prescriptive analytics, quantitative business insights and actionable visualizations that enable executive decision-making around ad pricing, campaign budgeting and revenue optimization. The role requires the ability to frame business problems in analytical terms, rapidly distill actionable recommendations, and handle multiple conflicting priorities. Along with the required business context, the Senior Analyst will need to leverage Google BigQuery / Python for data manipulation and analysis and Tableau for dashboarding (as needed). Depending on the task assigned, the Senior Analyst will collaborate cross-functionally or operate independently, under limited supervision. 
Key Responsibilities:<ul><li>
20% Work with other departments providing analytical insight on business performance.</li><li>
20% Research and analyze business trends &amp; customer behavior data to identify opportunities for website enhancements.</li><li>
20% Analyze web analytics data as well as other offline data to evaluate site performance.</li><li>
10% Work with the Web Analyst to provide weekly Web Analytic dashboards.</li><li>
10% Takes the lead on new programs and initiatives for Web Analytics Team.</li><li>
10% Provide web analytics strategy to Specialty Channel.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to Sr Manager</li><li>
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><li>
No travel Required</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>
Responsible for helping others and providing on-the-job training or guidance</li><li>
Demonstrated business/financial modeling capabilities with tools such as Excel and Access</li><li>
Demonstrated skills in applying statistical analysis principles to business challenges</li><li>
Demonstrated communication and interpersonal skills</li><li>
Demonstrated ability to work well with others</li><li>
Strong analytical skills with attention to detail; self-starter</li></ul> 
Preferred Qualifications:<ul><li>
Prior experience with SQL, Python and Tableau</li><li>
Machine learning experience</li><li>
Analytical skills</li><li>
Presentation skills</li><li>
Strong communication skills</li><li>
Strong people skills</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>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div> 
Apply End Date: 04/29/2026</div>

Sr. Analyst - Quantitative Research

<div><div>Position Purpose:
This is a Senior Communications Specialist within our Cyber Security organization. Protecting what matters most to our associates and consumers by securing our sensitive data and critical assets from current and emerging threats. At The Home Depot Cybersecurity consists of Architecture, Governance, Identity &amp; Access Management, Internal Threat Operations, Issue and Compliance Management, Risk Assessment/Advisory, Security Consulting, Security Operations, Service Optimization and Strategic Planning 
Analysts II perform data gathering, analysis, synthesis and develop solutions to support THD Cybersecurity practices. 
Key Responsibilities:<ul><li>
60% Analysis - Synthesize data to develop a solution, communicate the solution to stakeholders Analyze problems, structure the issue and perform analysis</li><li>
10% Collaborate - Partner cross-functionally to identify trends and resolve issues</li><li>
30% Drive Execution - Ensure initiative/project goals are met in a timely manner Implement solutions to meet customer expectations</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Manager or Sr. Manager</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><div><ul><li>
Team Construction &amp; Vision: Support the foundational set-up of the Cybersecurity Communications team, defining the mission, vision, and long-term goals in partnership with team Manager and Sr. Analyst.</li></ul></div><div><ul><li>
Operational Infrastructure Development: Design and implement the team's dedicated &quot;backbone&quot; by helping to set up the necessary technology stack and engineering for a centralized intake process.</li></ul></div><div><ul><li>
Brand &amp; Template Stewardship: Build and maintain the Cybersecurity brand guidelines, templates, SLAs, playbooks, and SOPs to bring order and consistency to the team.</li></ul></div><div><ul><li>
Communication Planning &amp; Execution: Partner closely with Sr. Analyst and Corporate Communications to create and execute communication plans and written and visual communications for high-impacting security initiatives, KTLO, and crisis response, ensuring all milestones are met with high-quality, professional output.</li></ul></div><div><ul><li>
Corporate Communications Coordination: Partner heavily with Corporate Communications to ensure all Cybersecurity collateral adheres to enterprise brand standards and communications are distributed to the intended parties in a timely manner.</li></ul></div><div><ul><li>
Feedback and Data Driven Insights: Partner with Sr. Analyst to monitor feedback and sentiment from cross-functional partners and employees to identify communication needs, surface themes, and recommend data-informed improvements to Cybersecurity communications and strategies, using tools such as engagement surveys, pulse checks, and feedback channels to quantify impact over time.</li></ul></div><div><ul><li>
Crisis Communication Support: Partner with Sr. Analyst and Corporate Communications to establish an Internal Cyber Crisis Communication process. Once established, will rapidly deploy urgent crisis related communication during critical Cybersecurity incidents using preapproved templates and SLAs.</li></ul></div><div><ul><li>
Adoption Tracking &amp; Reporting: Develop tactics and identify tools to measure communication reach, comprehension, engagement, and behavioral outcomes. In collaboration with the senior cybersecurity analyst, develop and maintain dashboards with an executive snapshot that ties communication metrics to the overall program objectives.</li></ul></div></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>
2</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</li><li>
Collaborates</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div> 
Apply End Date: 04/02/2026</div>

Cybersecurity Analyst II - Senior Communications Specialist

<div>Position Purpose:
The Senior Analyst, Program Management - AI / Automation Enablement, is the functional lead and execution engine for high-impact AI-powered solutions. This role bridges the gap between business strategy and technical delivery, translating the needs of Online Merchants and Brand Advocates into scalable, automated workflows.
Reporting to the Senior Manager, this individual is responsible for the day-to-day management of a &quot;Balanced Team&quot; (Data Science, IT, and UX), ensuring that technical roadmaps are aligned with business realities. The Senior Analyst combines a strong grasp of data architecture and SQL/data warehousing with a product-centric mindset to drive the development, integration, and adoption of agentic systems across a 1&ndash;2 year program horizon.
Key Responsibilities:<ul><li>
25% Cross-Functional Coordination - Balanced Team Leadership: Lead the daily cadence and project rhythm for a matrixed team of Data Science, IT, and UX partners, ensuring high-performance and program rigor. Collaborative Best Practices: Actively contribute to the solution design process, voicing opinions on best practices and fostering a culture of continuous improvement within the technical team. Dependency Management: Proactively identify and resolve impediments across indirect support teams, ensuring that cross-functional roadmaps remain synchronized.</li><li>
30% Program Execution &amp; Sprint Delivery - Roadmap Management: Orchestrate the phased delivery of AI solutions, balancing immediate sprint needs with the long-term (1&ndash;2 year) strategic goals of the program. Execution Rigor: Manage program tracking against the roadmap, focusing on schedule, scope, and resource alignment while translating technical risks into potential business impacts. Integration Strategy: Coordinate the seamless embedding of AI tools into existing merchant workflows, ensuring that solutions are user-friendly and technically scalable.</li><li>
15% Stakeholder Alignment &amp; Value Realization - User Advocacy: Serve as the primary point of contact for Online Merchants and Brand Advocates, managing expectations and communicating transparent status updates. Adoption &amp; Change Management: Support the development of change management plans to ensure business teams effectively adopt and trust new AI-driven processes. Value Tracking: Monitor tool performance and report on business outcomes (e.g., efficiency gains, ROI, and decision-making accuracy) to leadership and executive stakeholders.</li><li>
30% Technical Product Ownership &amp; Solutioning - Workflow Translation: Partner with business users to deconstruct manual processes into structured logic, identifying where AI and automation can drive the most operational leverage. Data Fluency: Leverage SQL and data warehouse knowledge to understand underlying data structures, validate model inputs, and ensure technical solutions are built on a sound architectural foundation. Technical Requirement Definition: Translate ambiguous business &quot;pain points&quot; into high-quality technical requirements, user stories, and acceptance criteria for Data Science and Engineering teams. Product Quality Assurance: Act as a primary tester for AI outputs, ensuring the solution meets the rigorous accuracy and reliability standards required by the business.</li></ul>
Direct Manager/Direct Reports:
<ul><li>This Position typically reports to Senior Manager.
</li><li>This Position does not have direct reports.</li></ul>
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% 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>
4+ years of professional experience in a Product Management, Business Analysis, or Technical Program Management capacity.</li><li>
2+ years of direct experience contributing to the implementation of AI, ML, or Automation solutions within business workflows.</li><li>
Demonstrated experience leading cross-functional &quot;Balanced Teams&quot; (Data Science, Engineering, UX) in an agile or sprint-based environment.</li><li>
Technical Data Proficiency: Proficiency in SQL and experience navigating cloud data warehouses to analyze data structures and validate solution inputs.</li><li>
Business Translation: Proven ability to translate ambiguous business &quot;pain points&quot; into structured technical requirements and user stories.</li><li>
Solution Lifecycle Management: Experience driving a technical product from initial requirements through UAT, deployment, and user adoption.</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in a relevant field (Computer Science, Data Analytics, Business Information Systems, or equivalent).</li><li>
Technical Product Ownership: Prior experience working as a Product Owner or Lead Analyst within a modern software design and development team.</li><li>
Process Optimization: Demonstrated experience re-engineering manual business processes into automated or AI-enabled workflows.</li><li>
AI Ecosystem Knowledge: Familiarity with the components of Generative AI systems, including an understanding of how models integrate with enterprise applications via APIs or orchestration layers.</li><li>
Data Architecture: Knowledge of data modeling concepts and how data flows from source systems to AI model endpoints.</li><li>
Retail or E-commerce Experience: Prior experience supporting Online Merchants, Brand Advocates, or similar business-side stakeholders in a large enterprise environment.</li><li>
Change Management: Experience developing training materials and documentation to drive the adoption of new technical tools.</li></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>
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>
Minimum Years of Work Experience:<ul><li>
2</li></ul>
Preferred Years of Work Experience:
<ul><li>4</li></ul>
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul>
Preferred Leadership Experience:
<ul><li>No previous leadership experience</li></ul>
Certifications:
<ul><li>Insurance licensing as required by state</li></ul>
Competencies:
<ul><li>Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Ensures Accountability</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Sr Analyst, Program Management AI Automation Enablement

<div>Position Purpose:<div>
The Senior Analyst, Marketing Analytics leads the strategy for quantifying the impact of paid marketing channels on the full customer funnel. In this role, you will go beyond basic web metrics to map the complex user journey from paid media touchpoints to website engagement, culminating in offline sales at our physical locations.</div><div>
By integrating online behavior with offline data, you will provide a holistic view of channel performance. You will collaborate with Media, Finance, and Operations teams to design a fact-based growth strategy, using SQL and Tableau to uncover trends that maximize marketing ROI. Your insights will directly influence budget allocation, audience targeting, and website enhancements designed to drive high-value store traffic.</div> 
Key Responsibilities:<ul><li>
20% Work with other departments providing analytical insight on business performance.</li><li>
20% Research and analyze business trends &amp; customer behavior data to identify opportunities for website enhancements.</li><li>
20% Analyze web analytics data as well as other offline data to evaluate site performance.</li><li>
10% Work with the Web Analyst to provide weekly Web Analytic dashboards.</li><li>
10% Takes the lead on new programs and initiatives for Web Analytics Team.</li><li>
10% Provide web analytics strategy to Specialty Channel.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to Manager, Channel Analytics</li><li>
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><li>
No travel Required</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>
Responsible for helping others and providing on-the-job training or guidance</li><li>
Demonstrated business/financial modeling capabilities with tools such as Excel and Access</li><li>
Demonstrated skills in applying statistical analysis principles to business challenges</li><li>
Demonstrated communication and interpersonal skills</li><li>
Demonstrated ability to work well with others</li><li>
Strong analytical skills with attention to detail; self-starter</li></ul> 
Preferred Qualifications:<ul><li>
Prior Business Analyst roles</li><li>
Analytical skills</li><li>
Presentation skills</li><li>
Strong communication skills</li><li>
Strong people skills</li><li>
Expertise in Tableau</li><li>
Media Knowledge: Familiarity with paid media platforms (Google Ads, Meta Ads Manager) and attribution modeling (Linear, First-Touch, Data-Driven).</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> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Senior Analyst, Marketing Analytics

<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)

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