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Sr. Data Scientist

SheerID

Sr. Data Scientist

Remote, OR
Full Time
Paid
  • Responsibilities

    We're looking for an exceptional data scientist to join our kind and high-functioning team.  As the founding member of our data science discipline, you will be a key player in the organization. You will deliver cutting-edge technology solutions to our clients, data partners and drive complex projects which directly impact the future trajectory of SheerID. The ideal candidate would be engaged and hands-on, with a track record of developing data-driven solutions for a variety of stakeholders. As a fast-growing company, we look for team members that jump in wherever they are needed and enjoy working cross-functionally. 

    We are looking for a dynamic individual, capable of bringing a broad range of experiences, as well as deep functional knowledge to empower our scrum teams. You'll be comfortable with mathematics, benchmarking, data mining, AI, and have a strong desire to learn more.  You'll ensure we identify and resolve where and how to best make data insights, taking on challenges with sales teams, quality assurance teams, release engineers, customers, and all with long-term objectives in mind. You will be responsible for driving broad technical change to ensure SheerID is always ahead of the curve. You will utilize your deep understanding of data to communicate unknowns and trade-offs across a variety of contexts and teams, all while clearly articulating the scaling, performance, and reliability limits of the systems you deliver.  

    You will do everything from debugging the hairiest problems the team encounters, quickly identifying and evaluating potential solutions, sharing your knowledge with other developers at SheerID through code reviews, pairing, group learning sessions, and documentation. Experience developing automated end-to-end testing a must. You'll be responsible for ensuring that the products you develop are fast, secure, and well tested.  You will enjoy collaborating with and learning from others in a team environment; building high-quality software, believing quality is everyone's responsibility. 

    As SheerID continues to grow, you'll have the opportunity to grow with the company. You will be the founding member of our SheerID data science discipline. You will be solving interesting problems using cutting edge technologies like ML, computer vision, big data, and digital identity on a daily basis. You will provide technical leadership and mentoring on the latest data science best practices, tools, and technologies in collaboration with engineers. You'll help to select and work with modern frameworks; becoming an expert at any tools and technology needed to get the job done. 

    The ideal candidate for this position cares deeply about the experience and satisfaction of our data partners, customers, and customers' customers.  The verification platform we have built puts user consent at the core of our user interaction. SheerID uses a very minimal set of personal information to perform verifications and we never keep personally identifiable information. We never ask users to create a login/password on our system. We never share, sell, or remarket any personal information, ever. We provide strong privacy protections for consumers (as opposed to standard marketing techniques) and are poised to ride the wave of this major trend that started with GDPR and continues with the California Consumer Privacy Act. 

    And our customers love us for it.  Our Net Promoter Score is 70, which is a testament to the value we create and how highly the company values our customers and end-users. We provide a frictionless experience and high-quality results for millions of verifications every month, attracting new customers, and building loyalty and longevity in every customer relationship. 

    We sell our product to marketers and big brands, but serve the end consumer equally, making it easier for deserving populations (Students, Teachers, Nurses, Seniors, Military members, First Responders, etc) to access special offers in a way that protects their data privacy.

    ROLE SPECIFIC JOB DUTIES

    • Design, build, test and maintain automated data processing pipelines to extract and transform company data for analysis and training of machine learning models
    • Develop frameworks and processes for evaluating the quality, applicability, and economics of data sources to be used in verification products
    • Mine company data assets for insights to support continuous improvement initiatives
    • Analyze data using statistical and machine-learning methods, prepare visualizations and narratives for presentation to company executives and other stakeholders
    • Define requirements for labeling or other data collection activities; work with engineering/ops teams to establish data architectures that support analysis activities
    • Advise product owners in regards to data and analytics-related product features, assisting with requirements gathering and implementation
    • Administer infrastructure, tooling, and environments for data warehousing and distributed data processing
    • Plan and execute A/B and multivariate testing experiments to improve our products, user experiences, and business outcomes
    • Work directly with complex internal and data partner requirements
    • Integrate with third-party web services and databases to expand the depth and breadth of eligibility verification services
    • Write/maintain documentation for clients, data partners, and other team members
    • Contribute to our collective brainpower through innovation and peer review.
    • Automate tasks and build tools that make SheerID more productive and efficient.
    • Mentor and train junior data science engineers and developers through directed development projects and pair programming
    • Develop and enforce a code of ethics to govern decision making in data science projects

    REQUIRED SKILLS/EXPERIENCE

    • Bachelor's degree from an accredited university. Preferably in Computer Science, Software Engineering, or related field/equivalent experience.
    • Proficient in statistical programming languages (Python, R, SAS), 5+ years of relevant experience using these technologies
    • 3+ years experience with distributed data processing tools (Spark, Map/Reduce, Hadoop, etc)
    • Familiarity with AWS offerings (S3, EC2, Redshift, Lambda) and other cloud providers
    • Strong problem solving, logic, and analytical skills
    • Solid foundation in statistical methods and data mining techniques and how they can be applied in real-world scenarios
    • Experience selecting and using various machine learning algorithms and libraries to build and train prediction and classification models
    • Conceptual understanding of data architecture/data warehousing and track record of execution
    • Expertise in debugging scale and performance issues
    • Strong written and verbal communication skills, able to summarize and present findings from experiments/research to executive-level stakeholders
    • Capable of working on data science projects within an agile software methodology
    • Ability to perform code review and provide constructive feedback to other engineers
    • 5+ years of experience with SQL, no-SQL databases (MongoDB, CouchDB, ElasticSearch, etc.), database structures, theories, principles and practices
    • Strong understanding of industry standards and best practices
    • Self-motivated and able to work well under pressure to meet tight deadlines
    • Strong interpersonal skills as well as a demonstrated ability to work on a team
    • Able to work under minimal supervision with latitude for independent judgment
    • Strong track record of technical leadership and mentoring to both engineers and stakeholders

    BONUS POINTS IF YOU HAVE…

    • Experience with Fraud Detection and Prevision
    • Experience with AWS, Kubernetes, and DevOps
    • Experience creating and integrating with REST APIs
    • Ability to design and deploy software applications using Python, Java EE, Mongo, Kafka, and AWS
    • Familiarity with Jenkins or similar distributed build/automation systems

    SheerID is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. SheerID believes that diversity and inclusion are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.