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Data Scientist

Prodege LLC -
El Segundo, CA

Job Details

Full-time
$125 an hour

Benefits

Stock options
Paid holidays
Disability insurance
Health insurance
Dental insurance
Paid time off
Vision insurance
Life insurance
Paid sick time

Qualifications

Communication skills

Full Job Description

Overview:

The Data Scientist, Data Solutions is responsible for creating valuable information from Prodege’s first party data by projecting data trends, building analytics solutions, locating and integrating outside data sources, and recommending data collection tactics. This role will apply advanced analytical techniques and utilize industry best practices to deliver business needs of internal and external stakeholders.

Prodege:

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today!

***Seeking qualified candidates located in the Greater Los Angeles Metro area able to report to in person to our El Segundo HQ office two to three days per week. ***

Primary Objectives:

Data Analysis & Insights Development: Building analytical models, applying machine learning techniques, and visualizing data trends.
Data Engineering & Automation: Programming, automation, data extraction, and system integration.
Data Quality & Governance: Ensuring data integrity and improving data accuracy through collaboration with internal and external teams.

Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Detailed Job Duties: (typical monthly, weekly, daily tasks which support the primary objectives)

Data Analysis & Insights Development:
- Collaborate with Data and Insights team members to build analytics tools centered on Prodege’s various data assets.
- Lead the application of advanced descriptive, predictive, and prescriptive analyses along with NLP and AI-based techniques.
- Use 3rd-party and homegrown software to expand access to data, visualize data trends, and inspire the use of data-based solutions.
- Design and create data models, algorithms, KPIs, and weighting methods utilizing open-source libraries to generate standard and projected statistics describing data trends.
- Synthesize data assets to discover bespoke insights and communicate this information to clients
Data Engineering & Automation:
- Program, automate, and maintain processes using general-purpose programming languages to support key initiatives across the organization.
- Locate and integrate outside data sources to help extract and validate valuable insights.
- Generate data extracts for internal and external customers in accordance with Prodege’s data-sharing best practices.
Data Quality & Governance
- Assist internal and 3rd party data coding teams to improve quality of the data assets.

What does SUCCESS look like?

Successful performance in the Data Scientist, Data Solutions role is defined by the ability to extract valuable insights from Prodege’s first-party data, leveraging advanced analytical techniques, machine learning models, and data visualization to support business decisions. The individual must effectively automate data processes, integrate external data sources, and develop scalable analytics tools that enhance accessibility and usability for both internal and external stakeholders. Ensuring data integrity and accuracy through collaboration with internal teams and third-party partners is critical to maintaining high-quality data assets. Additionally, the role requires proactive innovation in analytics solutions, continuously improving methodologies to align with evolving business needs. Ultimately, success is measured by the impact of data-driven insights on operational efficiency, decision-making quality, and business growth.

Qualifications

The MUST Haves: (ex: job cannot be done without these skills, education, experience, certifications, licenses)

A Bachelor’s degree in Computer Science, Statistics, Mathematics, or Data Science fields
Three or more (3+) years experience providing data extraction and data analysis for internal and external stakeholders.
Experience with Python and open-source libraries.
Experience building scripts to automate data-based tasks.
Experience working with customers to provide data-based solutions.
Experience with CPG/ omni-channel retail Market Research.
Experience utilizing Applied Statistics on work projects.
Experience crafting surveys using quantitative and qualitative research methods.
Experience transforming and analyzing survey data.
Experience with visualization tools like SIGMA, Tableau or Crunch.io.
Experience with predictive and prescriptive analytical methods.
Experience with Natural Language Processing techniques and use-cases.
Experience with Machine Learning techniques and use-cases.
Strong SQL knowledge and skills.
Excellent attention to detail.
Strong verbal and written communication skills.
Strong Relational DB experience.
Database privacy/ security knowledge and appreciation
Semi-structured data experience.
Proficiency in critical thinking and problem solving.
Ability to QA data in all its forms.

The Nice to Haves: (preferred additional skills, education, experience, certifications, licenses)

A Master’s degree in a technical or quantitative field is preferred.
Advanced experience with Python and open-source libraries preferred.
Advanced SQL knowledge and skills preferred.

Pay Transparency:

The anticipated base salary range for this position is $125,00 to $140,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. Prodege is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Prodege Benefits:

Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year. Employees receive an option to purchase shares of Company stock commensurate with their position, which vests over four years.

Equal Employment Opportunity Statement

At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.

FCIHO

Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.

Data Analysis & Insights Development:

Data Engineering & Automation:

Data Quality & Governance

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