Company Description Harland Clarke, a Vericast business, is a premier marketing solutions company that accelerates profitable revenue growth for the thousands of businesses it serves directly by influencing consumer purchasing and transaction behavior at scale while engaging with over 120 million households daily. We are recognized as leading providers of incentives, advertising, marketing services, transaction solutions, customer data and cross-channel campaign management, and intelligent media delivery that create millions of customer touch points annually for their clients. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn. Job Description 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 <ul><li>Leverage a richly populated feature stores to understand consumer and market behavior. 20%</li><li>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%</li><li>Derive a set of new features that will help better understand the interplay between geography and audience features to improve model performance. 20%</li><li>Work collaboratively with Data Engineering and Analytics teams to develop new products with applied AI and bring them to market. 20%</li><li>Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. 20%</li></ul> Qualifications EDUCATION <ul><li>BS degree in quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required).</li><li>MS degree in relative field (Computer Science, Mathematics, Statistics) (Preferred).</li></ul> EXPERIENCE <ul><li>3-5 years of experience within the Data Science space.</li></ul> KNOWLEDGE/SKILLS/ABILITIES <ul><li>Ability to churn through and gain insights from high volumes of data using distributed processing.</li><li>Ability to create Data-Driven presentations and reports for technical and non-technical stakeholders.</li><li>Expertise in analysis or design of experiments for standard and adhoc analysis, interpreting results to drive marketing strategies.</li><li>Familiarity with Spark Framework within an On-Premise Big Data Environment.</li><li>Good analytical skills, with expertise in analytical toolkits such as Regression, Tree-based Models, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, predictive analysis.</li><li>Proficient in Python/PySpark collaborative development in an industry setting.</li><li>Proven track record of leveraging data to optimize marketing campaigns and improve customer engagement.</li><li>Understanding and experience with Machine Learning workflows and model productionalization.</li></ul> Additional Information 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. All team members are responsible for demonstrating the company's Core Values at all times and for using Performance Excellence principles to continuously improve effectiveness, efficiency, products, and services. This includes, but is not limited to, participating on improvement teams, recommending, and implementing improvement ideas, and participating in training and other activities to keep up to date on processes, information, etc. All team members are responsible for supporting and complying with safety and security policies to promote a healthy working environment. Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K 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 talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. #LI-TE1 #LI-REMOTE Videos To Watch https://www.youtube.com/watch?v=X0k5h76iniQ

Company Description 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 Senior Staff Data Scientist at Vericast, your contributions will help us stay at the forefront of the AdTech industry. Job Description A Senior Staff Data Scientist is a hands-on expert who is passionate about all aspects of data science and can contribute by designing, conducting, and incorporating analyses of large-scale data from a wide variety of sources. This involves converting ambiguous requirements to concrete solutions for exploring data, designing and/or applying appropriate algorithms, documenting the findings, and incorporating the analysis into end-to-end solutions, systems, and platforms. Effective communication with other job disciplines is required. Contributions are expected at a level of results above and beyond entry-level and mid-level Data Scientists. Key Duties & Responsibilities <ul><li>Have a wider impact by providing insights and effective leadership into data science, digital media, and data engineering. This individual will have the hands-on skills to be an individual contributor and the experience for mentoring and leading other data scientists (25%)</li><li>Act often as a technical lead, determining approach, objectives, requirements, features, milestones, implementation tasks, and tradeoffs of end-to-end large scale data science projects, platforms, and systems (25%)</li><li>Act as a subject matter expert in data science (ML/AI) algorithms and underlying technologies (programming languages and systems) (15%)</li><li>Design, conduct, and incorporate analyses of large-scale data from a wide variety of sources (15%)</li><li>Work within the scrum practices in team projects (10%)</li><li>Contribute to hiring process by screening higher level candidates, team interviews, manager candidates, i.e., act as a "Bar Raiser" (10%)</li></ul> Qualifications Education <ul><li>Bachelor's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)</li><li>Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Desired)</li><li>Doctorate Degree (Preferred)</li><li>In lieu of the above education requirements, a combination of experience and education will be considered.</li></ul> Experience <ul><li>8 - 10 years Relevant Experience (Required)</li></ul> Knowledge/Skills/Abilities <ul><li>Strong analytical skills, with expertise and solid understanding of multiple statistical/analytical machine learning techniques applied at large scale.</li><li>Technical proficiency in ML algorithms, scalable ML platforms, languages, and tools (Python, Spark, ML/Ops) in a corporate setting is highly desirable.</li><li>Ability to communicate effectively across multi-disciplinary teams (e.g., data science, engineering and product management, org leadership).</li><li>Prior experience in applying Data Science in Digital Marketing Technology, Graph Theory, Privacy and Geolocation Data is a plus.</li></ul> Additional Information Salary:$160,000-175,000 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 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 talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. #LI-LC1 #LI-remote

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