Senior Analyst, Data Science

The Company:

Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing, where CRM and addressable channels converge, and decisions must be made in real time to aggregate effective reach and deliver the right message at the right time.

Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.

Responsibilities

As a member of the Hearts & Science data science team, you will work with client team strategists and media buyers to create solutions that shape the strategic direction of your client's marketing plans through data-driven insights. You will collaborate with other data scientists to build new utilities, improve methodologies, and explore a wide variety of datasets. This work may involve:

* Exploring and experimenting with datasets to draw insights and search for client-specific and general solutions

* Uncovering audience insights for clients:

* Guiding non-technical stakeholders in choosing the right analysis to answer open-ended questions

* Independently formulating and executing an analytics plan; iteratively building on client feedback to get to a satisfactory answer

* Translating quantitative results back into actionable insights and interesting storytelling

* Hands-on machine learning and statistical modeling for audience segmentation/extension

* Collaboratively ideating and building tools that process, visualize, and analyze data to share across the organization

* Evaluating new data and tools; quickly learning to navigate new platforms; extract, transform, and load data from various partner cloud storage solutions

* Documenting and sharing knowledge with a wide variety of L'Oreal & BCL teams

Education & Experience

* 1 to 2 years of relevant experience

* Bachelor's degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields. Advanced quantitative degree or intensive bootcamp experience is preferred.

* Must have hands-on expertise in SQL and Python

* Experience with cloud computing such as Google Cloud Platform or AWS

#LI-CC2

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.

Compensation Range

$40,000-$85,000 USD

This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.

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