Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, achieve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enables better execution with agility, precision and scale. That’s why nearly 6,000 FI's look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.

Vericast is a big data company. We receive on average over 100 billion intent signals daily, which assist in generating a deep understanding of a person's interest and in-market signals across 1,300 interest topics. This is coupled with strong geographic targeting, as over 30 billion location signals are collected daily from over one million retail stores and over 120 million households.

Data Science plays a crucial role in delivering our solutions today and will play a more prominent role in our future. A typical data science project has a solid mathematical foundation, an exploratory dimension, and a data-driven workflow. This is also true at Vericast. Our data science projects have strong foundations on machine learning, data engineering, and modeling. We are building a privacy-centric future of digital advertising by focusing on web content. We are connecting web content to consumer interest and action, ultimately driving which ads are shown on a webpage.

To continue our journey, we are seeking data science experts who are passionate about using cutting edge technology and conceiving innovative methods to solve unique and complex problems. As a Data Scientist - FI Solutions at Vericast, your contributions will help us stay at the forefront of the AdTech industry.

We are seeking a Data Scientist - FI Solutions who is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry. The ideal candidate is innately curious about how data can be used to tell a story and inform decisions. You have honed your skills through a combination of education, work experience, and hobbies. You are excited about the complexity and challenges of creating intelligent, high-performance systems while working with a highly experienced and driven data science team.

If this described you, we are interested. You can be an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow the intelligence in our Financial Services marketing product suite. Our day-to-day work is performed in a progressive, high-tech workspace where we focus on a friendly, collaborative, and fulfilling environment.

KEY DUTIES/RESPONSIBILITIES

• Leverage richly populated feature stores to understand consumer and market behavior for Financial Institution (FI) clients, like banks and credit unions. 20%
• Implement a predictive model to determine whether a person or household is likely to open a lending or deposit account based on the advertising signals they've received. 20%
• Derive a set of new features that will help better understand the interplay between geography and audience features to improve model performance. 20%
• Work collaboratively with Data Engineering and Analytics teams to develop new products with applied AI and bring them to market. 20%
• Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. 20%

EDUCATION

• Bachelor's of Science (BS) degree in quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required).
• Master's pf Science (MS) degree in relative field (Computer Science, Mathematics, Statistics) (Preferred).

EXPERIENCE

• 1-3 years of experience within the Data Science space.
• Experience working for or with a Financial Institution (FI) strongly preferred.

KNOWLEDGE/SKILLS/ABILITIES

• Ability to churn through and gain insights from high volumes of data using distributed processing.
• Ability to create Data-Driven presentations and reports for technical and non-technical stakeholders.
• Expertise in analysis or design of experiments for standard and adhoc analysis, interpreting results to drive marketing strategies.
• Familiarity with Spark Framework within an On-Premise Big Data Environment.
• Good analytical skills, with expertise in analytical toolkits such as Regression, Tree-based Models, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, predictive analysis.
• Proficient in Python/PySpark collaborative development in an industry setting.
• Proven track record of leveraging data to optimize marketing campaigns and improve customer engagement.
• Understanding and experience with Machine Learning workflows and model productionalization.

Salary: $90,000 - $110,000

The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.

Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match, and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!

At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community.  As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected].  EEO is the law. To review your rights under Equal Employment Opportunity please  visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

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