data science manager

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

Truist

<div>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h3 class="jobSectionHeader">
Please review the following job description:</h3>
We are seeking a Director of Business Data Products &amp; Enablement (BDPE) to lead the development and delivery of scalable, product-based data solutions across Deposits and Lending within Consumer &amp; Small Business Banking (CSBB). 
This role is accountable for defining and executing a product-driven data strategy, transforming fragmented reporting and analytics into standardized, governed, and reusable data products that drive measurable business value. 
The Director will act as a bridge between business and technology, ensuring that data products are aligned to business priorities, built with high quality and governance, and adopted effectively to enable faster, more consistent decision-making.
ESSENTIAL DUTIES AND RESPONSIBILITIES 
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 
1. Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables. 
2. Lead a team of Data and Analytics professionals. Provide coaching and guidance to team members, understanding their strengths, weaknesses and goals to support the appropriate opportunities for career development and enhancement. Provide performance evaluations in accordance with Truist guidelines. Work with teammates to establish development plans and provide regular coaching and feedback to members of the team. 
3. Responsible for talent acquisition, coaching and organization of data science professionals possessing highly technical skills, an understanding of business processes, natural curiosity and a drive to excellence in pursuit of business optimization and impact. 
4. Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises and building trust with partners while delivering on LOB and company goals. 
5. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by advanced analytics in support of enhanced decision-making. Focus on continuous improvement in delivering data science driven insights and outcomes in pursuit of business optimization. 
6. Provides strategic direction in data collection, data wrangling, data mining, advanced analytic concepts, AI &amp; machine learning, self-service enablement and data visualization for the line of business partners. 
7. Drive overall team standards in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers. 
8. Represent the team in various forums, work streams, and Executive reviews. Cultivate relationships with Senior Leaders from the Enterprise Data Office and federated analytics teams to drive efficient data science &amp; predictive analytics delivery against shared objectives. 
9. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
QUALIFICATIONS 
Required Qualifications: 
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
1. Bachelor&rsquo;s degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 
2. 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results. 
3. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights. 
4. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact. 
5. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact. 
6. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact. 
7. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness. 
8. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).
Preferred Qualifications:
1. Experience with modern data platforms (e.g., cloud, Snowflake, BI tools)
2. Prior working experience with data governance frameworks, and risk controls
3. Experience in AI/advanced analytics enablement for Agentic and traditional applications
4. Experience in data, analytics, product management, or BI delivery in Consumer Banking
5. Demonstrated ability to:
 Translate business strategy into executable data solutions
 Lead cross-functional teams and influence senior stakeholders
 Deliver measurable business outcomes through data and analytics
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>

Director, Business Data Products & Enablement (BDPE) - Deposits & Lending

The Home Depot

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

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: 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 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 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 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 Direct Manager/Direct Reports: This position typically reports to Manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. 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: Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 4+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Proficient utilizing statistical techniques to identify key insights that help solve business problems Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated experience in 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: 3 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

Data Scientist - Network Strategy

Warner Bros. Discovery

<div>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
Who We Are&hellip;
When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what&rsquo;s next&hellip;
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role:
We are seeking a Senior Product Manager &ndash; Converged Advertising to
own and deliver product capabilities that support WBD&rsquo;s next‑generation
advertising platforms. This role is responsible for execution of features,
workflows, and client‑facing requirements across converged planning,
forecasting, yield optimization, and reporting systems, delivered as
scalable, cloud‑native solutions.
The Senior Product Manager acts as a hands‑on product owner and
execution partner, working closely with Sales, Operations, Engineering, and
Data Science to ensure product capabilities align with established product
strategy, revenue priorities, and advertiser outcomes within an assigned
product domain.
Product Roadmap Execution &ndash; Own and execute against feature roadmaps
for converged planning, forecasting, and reporting systems, ensuring delivery
aligns with monetization priorities, operational efficiency, and established
product strategy.
Cross-Functional Collaboration &ndash; Collaborate with Engineering, Data
Science, and Client Engineering to deliver scalable, API‑driven workflows
supporting billions of monthly ad impressions across linear and digital
platforms.
Client &amp; Stakeholder Engagement &ndash; Translate advertiser, agency, and sales
team needs into clear, actionable product requirements; ensure delivered
features improve productivity and campaign performance for global sales
and operations users. 
Data-Driven Prioritization - Use KPIs, usage metrics, and structured
feedback loops to prioritize features within the assigned product area that
improve yield optimization, sales velocity, and ROI.
Qualifications &amp; Experience
Education: Bachelor&rsquo;s degree in Business, Computer Science, Engineering, or a
related discipline required; MBA or advanced technical certification a plus.
Product Management Experience: 5+ years of product management experience,
preferably within advertising technology, SaaS, or enterprise platform environments.
AdTech Knowledge: Familiarity with campaign management, forecasting, yield
optimization, and converged linear + digital ad systems.
Product Delivery: Demonstrated ability to deliver complex, enterprise‑scale product features in partnership with engineering teams, with measurable user adoption and business impact.
Stakeholder Collaboration: Experience gathering business needs and aligning
product execution with revenue objectives, operational efficiency, and client
outcomes.
Communication &amp; Influence: Strong written and verbal communication skills, with
the ability to collaborate effectively across Product, Engineering, Sales, Operations,
and Finance.
Modernization Exposure: Experience contributing to modernization initiatives,
including migration of legacy systems toward cloud‑native platforms.
How We Get Things Done&hellip;
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $105,280.00 - $195,520.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.</div>

Senior Product Manager

NAVA TECH LLC

Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals with a strong foundation in programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.About the RoleThis role is ideal for candidates who:<ul><li>Have a strong technical foundation</li><li>Know how to write code and solve problems</li><li>Have experience working in IT, software development, analytics, or related fields</li><li>Want to transition into Data Science</li><li>Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies</li><li>Are you looking for a long-term career path with significant growth potential</li></ul>ResponsibilitiesThrough hands-on project experience and mentorship, you'll gain exposure to:<ul><li>Data Science Methodologies</li><li>Machine Learning</li><li>Predictive Analytics</li><li>Generative AI</li><li>Data Engineering Concepts</li><li>Cloud Platforms (AWS &amp; Azure)</li><li>Big Data Technologies</li><li>Enterprise Data Solutions</li><li>Advanced SQL and Python Development</li></ul>QualificationsMinimum Qualifications<ul><li>Master&rsquo;s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>OR bachelor&rsquo;s degree with at least 2 years of professional technical experience</li></ul>Required Skills<ul><li>Experience coding in Python</li><li>Strong SQL skills</li><li>Understanding of object-oriented programming concepts</li><li>Strong analytical and problem-solving abilities</li><li>Excellent communication skills</li><li>Ability to learn new technologies quickly</li></ul>Preferred Skills<ul><li>Experience with any of the following is a plus:</li><li>Data Analytics</li><li>Software Development</li><li>AI Engineering</li><li>Machine Learning</li><li>AWS</li><li>Azure</li><li>Databricks</li><li>PySpark</li><li>GitLab</li><li>Data Warehousing</li><li>Cloud Technologies</li><li>Statistical Analysis</li></ul>Pay: $35.00 - $42.00 per hourBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Relocation assistance</li></ul>Work Location: In person

Jr Data Scientist

Momentive Software

<div><h1 class="jobSectionHeader">Job Description
</h1>Key Responsibilities:
<ul><li>Data Analysis &amp; Insight Generation
</li></ul><ul><li><ul><li>Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
</li><li>Communicate findings and recommendations through reports, dashboards, and presentations.
</li></ul></li></ul><ul><li>Data Engineering &amp; Preparation
</li></ul><ul><li><ul><li>Clean, preprocess, and transform raw data for analysis and modeling.
</li><li>Collaborate with data engineering teams to ensure data availability and quality.
</li></ul></li></ul><ul><li>Collaboration with Stakeholders
</li></ul><ul><li><ul><li>Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.
</li><li>Translate business problems into analytical frameworks.
</li></ul></li></ul><ul><li>A/B Testing &amp; Experimentation
</li></ul><ul><li><ul><li>Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
</li><li>Provide statistical rigor in experimentation and decision-making.
</li></ul></li></ul><ul><li>Research &amp; Innovation
</li></ul><ul><li><ul><li>Stay up-to-date with the latest developments in data science, machine learning, and AI.
</li><li>Propose innovative approaches and solutions for complex problems.
</li></ul></li></ul>Other duties as assigned
Qualifications
<ul><li>Education
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
</li></ul></li><li>Experience
<ul><li>5+ years of experience in data science or a related field.
</li><li>Hands-on experience with data analysis, machine learning, and statistical modeling.
</li></ul></li><li>Technical Skills
<ul><li>Proficiency in Python , R or similar technologies for data analysis and modeling.
</li><li>Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
</li><li>SQL proficiency for data extraction and transformation.
</li><li>Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.
</li></ul></li></ul><h1 class="jobSectionHeader">About Us
</h1>Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive&rsquo;s cloud-based software and services to address their most pressing challenges &ndash; from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe &quot;good enough&quot; is never enough &ndash; so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com . 
 
<h1 class="jobSectionHeader">Why Work Here?
</h1>At Momentive Software, we&rsquo;re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you&rsquo;re looking for a place where your work matters and your ideas are valued, you&rsquo;ll find it here.
Medical, Dental &amp; Vision Benefits
401(k) Savings Plan with Company Match
Flexible Planned Paid Time Off
Generous Sick Leave
Inclusive &amp; Welcoming Environment
Purpose-Driven Culture
Work-Life Balance
Commitment to Community Involvement
Employer-Paid Parental Leave
Employer-Paid Short-Term Disability
Remote Work Flexibility
 
 
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
 
 
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.</div>

Senior Data Engineer

Explore 167+ Data science manager in Atlanta this July. Find roles across top companies and apply now to boost your career.