DATA PRODUCT DEVELOPER

Location:  Culver City, Los Angeles California

Division:  Global Science Organization (GSO), Data Science & AI Lab

The Data Science & AI Lab of the Ipsos GSO is a uniquely positioned group within Ipsos. We serve as the global R&D capability bridging data science with market research offerings. The team develops analytic tools, builds data science models for pilot studies and internal stakeholder analytics innovations, and consults on a broad range of data and research best practices. Working in a collaborative and supportive environment, we seek to expand what is possible in market research with data science.

We’re looking for someone with a deep interest in technology, cloud services, and data and the dedication to apply that passion. We need someone that possesses the technical ability to write production-level code and deploy data science pipelines and tools for a diverse set of applications. The developer in this role will help the team build full-stack data offerings and scale them to the cloud. The position calls for an observant attention to detail, the ability to work well on a small team, and a self-starter approach to problem-solving and debugging.

AS A DATA PRODUCT DEVELOPER, YOU WILL:

• Work closely with team members on design of large-scale modeling efforts, contributing to cloud pipelines, including the containerization of current analytics pipelines and refactoring of current libraries for distributed computing
• Collaborate on engineering new data science products by translating needs identified with stakeholders into analytic frameworks that can be built into polished user-facing tools
• Build, maintain, and enhance existing codebases
• Synthesize tech innovations and cloud scalability to elevate business value for clients, both current and prospective
• Validate, test, and maintain staging and production analytics environments in the cloud for data science teams globally
• Provide consulting for internal teams and clients on data architectures and schemas, data hygiene, and areas for improving process efficiency

REQUIREMENTS:

• Proficiency with Python, Node, JavaScript (preferably React), and Docker, including the ability to produce and maintain reusable and modular codebases.
• Bachelor’s degree
• Desire to work in a highly collaborative, fun, consensus-oriented environment.
• Attentive learner with excellent time-management skills.
• Working knowledge of statistics and data science methods.
• Ability to manipulate data structures of varying schemas and shapes.
• Experience deploying data models and processes in the cloud (e.g. GCP, AWS).

PLUSES:

• Experience with Linux server and system administration.
• Working knowledge of SQL or NoSQL and experience with database design and administration.
• Experience in analytics, extracting and surfacing value from quantitative data
• Professional or academic experience with modern techniques and algorithms in machine learning and statistical computing (e.g. deep learning).
• Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
• Experience with ReactJS, TypeScript/JavaScript, visualization libraries (e.g. d3.js).
• Experience creating and deploying web apps (e.g. AppEngine, Electron).

Required Skills Required Experience

+--------------------------------------+--------------------------------------+ | Education and Experience | High School Diploma or GED. | +--------------------------------------+--------------------------------------+ | Certifications, Licenses, | Must have a valid CDL with a P | | Registrations | endorsement and good driving record; | | | CPR/First Aid certifications | +--------------------------------------+--------------------------------------+ | Physical Demands | The physical demands described here | | | are representative of those that | | | must be met by an employee to | | | successfully perform the essential | | | functions of this job.  Reasonable | | | accommodations may be made to enable | | | individuals with disabilities to | | | perform the essential functions.  | | | While performing the duties of this | | | job, the employee is regularly | | | required to talk and listen, sit, | | | stand, and walk; to reach with | | | hands, arms, as well as use hands to | | | finger, handle or feel, to taste and | | | smell.  The employee must be able to | | | lift and/or move up to 50 pounds.  | | | Specific vision capabilities | | | required by this job include; close, | | | distance and peripheral vision. | +--------------------------------------+--------------------------------------+ | Language Skills | Ability to read, analyze, and | | | interpret general business | | | periodicals, professional journals, | | | technical procedures, and government | | | regulations.  Ability to write | | | reports, business correspondence, | | | and procedure manuals.  Ability to | | | effectively present information and | | | respond to questions from groups of | | | managers, clients, customers and the | | | general public. | +--------------------------------------+--------------------------------------+ | Reasoning Ability | Ability to solve practical problems | | | and deal with a variety of concrete | | | variables in situations where only | | | limited standardization exists.  | | | Ability to interpret a variety of | | | instructions furnished in written, | | | oral, diagram, or schedule form. | +--------------------------------------+--------------------------------------+ | Work Environment | The work environment characteristics | | | described here are representative of | | | what employee encounters while | | | performing the essential functions | | | of this job.  Reasonable | | | accommodations may be made to enable | | | individuals with disabilities to | | | perform the essential functions.  | | | While performing the duties of this | | | job, the employee is occasionally | | | exposed to outdoor weather | | | conditions.  The noise level can | | | vary from moderate to loud. | +--------------------------------------+--------------------------------------+