DATA SCIENTIST

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 data and analytics and the dedication to apply that passion. We need someone that possesses the technical ability to write production-level code and implement data science methods for a diverse set of applications, as well as uncover insights from the models and communicate them concisely and clearly to stakeholders at varying levels of technical sophistication. The role also requires 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 SCIENTIST, YOU WILL:

• Work closely with team members on design and execution of large-scale modeling efforts, contributing to analytics libraries and integrating statistical theory
• 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 academic research, tech innovations, and cloud scalability, to elevate business value for clients, both current and prospective
• Validate analytics innovations from marketing science and data science teams globally
• Provide consulting for internal teams and clients on data engineering and hygiene, areas for improving process efficiency, and data science algorithms and results

REQUIREMENTS:

• High proficiency writing R and/or Python, 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.
• Experience in analytics, extracting and surfacing value from quantitative data.
• Attentive learner with excellent time-management skills.
• Ability to lucidly communicate data science concepts verbally and in written form.

PLUSES:

• Professional or academic experience with modern techniques and algorithms in machine learning and statistical computing such as neural networks, genetic algorithms, Bayesian modeling, data fusion, drivers analysis, clustering, predictive analytics, network analysis, Monte Carlo, and agent-based models.
• Experience developing data science models in cloud platforms (e.g. GCP, AWS).
• Working knowledge of SQL and experience with database design and administration.
• Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
• Large dataset manipulation. Experience in distributed storage and computing.
• Experience in the field of Market Research.

Required Skills Required Experience

+--------------------------------------+--------------------------------------+ | Education and Experience | LPN license in State, at least 2 | | | years of relevant experience, | | | Associates degree preferred. | +--------------------------------------+--------------------------------------+ | Certifications, Licenses, | Active, unrestricted license to | | Registrations | practice in the state where the | | | center is located, valid state | | | driver’s license; | +--------------------------------------+--------------------------------------+ | 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 | | | occasionally 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. | +--------------------------------------+--------------------------------------+