Junior Data Scientist

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

Our Fortune 100 financial services client is seeking a highly motivated and analytically driven Jr. Data Scientist to join their banking partner's Consumer Payments & Credit Card Analytics team.  This role offers an exciting opportunity to work with large-scale datasets across credit cards, peer-to-peer (P2P) platforms such as Zelle, and other consumer payment products.

This role involves analyzing transactional data, uncovering customer insights, and delivering data-driven strategies to improve product performance, customer segmentation, and marketing effectiveness.  The individual will leverage Snowflake for cloud-based data management, Python and SAS for advanced analytics and modeling, and leading business intelligence (BI) tools including Tableau, Qlik, and Sigma to produce actionable insights that guide strategic decisions.

The Details:

• Location: 3 days onsite per week required in Atlanta, GA (zip code: 30308)
• Duration: 6-month consulting role with potential for extension or conversion to hire
• Benefits: We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Employee Assistance Programs, and an incredibly supportive team cheering you on

What you'll do:

Analytics & Insights

• Analyze credit card and P2P transaction data to identify trends, growth opportunities, and areas for improvement across products and customer segments.
• Monitor and report on consumer behavior trends, including digital adoption and peer-to-peer payment activity, to inform business strategy.
• Develop segmentation strategies to enable targeted marketing, product personalization, and enhanced customer engagement.
• Define and track key performance metrics to measure portfolio health, marketing effectiveness, and product innovation impact.

Advanced Modeling & Forecasting

• Design and implement statistical and predictive models using Python and SAS to forecast trends, evaluate campaign performance, and measure customer lifetime value.
• Support the development of data-driven marketing experiments and A/B testing strategies to optimize marketing initiatives.

Cloud Data & Business Intelligence

• Leverage Snowflake to manage and optimize large-scale data environments, ensuring high data quality and accessibility.
• Build and maintain ETL processes to transform raw data into analytics-ready datasets.
• Create interactive dashboards and reports in Tableau, Qlik, and Sigma to enable self-service analytics and real-time business decision-making.
• Drive adoption of Sigma Computing as a collaborative platform for business users to explore data directly in Snowflake.

Collaboration & Strategy

• Partner with Marketing, Product Management, and Risk teams to align analytical insights with strategic objectives.
• Provide analytical support for new product launches, feature enhancements, and portfolio optimization efforts.
• Communicate findings and recommendations to senior leadership through clear, compelling data storytelling.

Education & Experience:

• Bachelor's degree in Financial Engineering, Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.
• 0–2 years of experience, including internships, in analytics, data science, or business intelligence.

Technical Skills:

• Proficiency in Python and SAS for analytics, modeling, and statistical analysis.
• Strong SQL skills and hands-on experience with Snowflake or other cloud-based data warehouses.
• Experience with BI tools, including Tableau, Qlik, and Sigma, for dashboard creation and data visualization.
• Strong understanding of statistical techniques, marketing analytics, and customer segmentation methodologies.
• Experience managing and manipulating large, complex datasets.

Soft Skills:

• Strong problem-solving and critical thinking skills with a high attention to detail.
• Excellent communication abilities, with the capability to present analytical findings to technical and non-technical stakeholders.
• Collaborative mindset and eagerness to learn and grow in a dynamic, fast-paced environment.

The starting pay range for this role is $40-45 per hour. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

A diverse workforce is a strong workforce

To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients' team.

BLEND360 is an equal opportunity employer.