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. Our data scale and data science-driven insights differentiate our product offerings in the competitive digital marketing technology landscape. Data Science is not a product support function at Vericast; it is a primary value driver. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.

Job Description

DUTIES: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Duties to include: Build and evaluate Marketing ML models using First & Third Party Customer Data; Create and manage end-to-end projects including analysis design, execution and summarization of results; Develop scalable data pipelines for feature extraction using various AWS Services; Identify, clean, analyze and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses; Prototype and Implement advanced solutions to enhance existing ML model performance; Create clear documentation of research plans, results, and conclusions; Present research and recommendations based on research findings to audiences of varying levels of experience; Collaborate with data engineers and operations teams to productionize your work; Automate processes for recurring analyses or other model building activities, focusing on efficiency; and Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. Telecommuting is available for this position from anywhere in the U.S. 

Qualifications

REQUIREMENTS: Employer will accept a Master’s degree in Data Science, Computer Science or a related field and two (2) years of experience in the job offered or a related computer occupation. Position requires two (2) years of experience in the following:

• Programming and Data Analysis: Java, Python, Shell Scripting, PySpark, or SASSQL;

• Databases: PostgreSQL or MySQL;

• Data Visualization and Business Intelligence: Tableau, AWS QuickSight, Javascript, matplotlib, or seaborn;

• Big Data Analytics: Pentaho, Snowflake, AWS Redshift, or Hadoop;

• Cloud Computing: AWS (S3, RDS, SageMaker, Lambda, Step Functions, or Athena);

• Machine Learning Modeling: Supervised Learning, Unsupervised Learning, Feature Engineering, or Hyperparameter Tuning;

• Probability and Statistics;

• Agile Methodology;

• Version Control: Jenkins or Git;

• Data Exploration; and

• Data Visualization.

Additional Information

Salary: $120,000

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 generous PTO allowance. 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.