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Data Science Manager - Experiences

Mercury

Full-time
USA, Canada
$203k-$239k per year
data science
science
recruiting
saas
user experience
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

Back in 1898, E. St. Elmo Lewis had a “lightbulb moment” and sketched out the AIDA (Attention, Interest, Desire, Action) model, launching what we now call the conversion funnel. Over a century later, that original idea of guiding strangers toward becoming loyal customers still drives modern marketing and data science, shaping how we measure and optimize every step of the user journey.

We are looking for a Data Science Manager who can build the theory and connect the dots behind how and why people adopt our core products. In this role, you’ll be responsible for deeply understanding our customers, the systems of distribution for Mercury, designing how we are driving towards the overarching business and financial goals. You’ll work closely with product, engineering, and design to drive topline growth as well as overall user experience for Mercury. 

Responsibilities

  • Lead a team of 4 senior IC data scientists supporting the Experiences organization.

  • Proactively discover and define opportunities to level up the craft, strategy, and execution of our growth and user experience reporting.

  • Set the direction and define prioritized roadmaps for the team; ensuring we’re focused on work that solves user problems, enables product teams, and maximizes customer value.

  • Work in ambiguity and be able to set and achieve priorities that find the perfect balance between both user and business needs.

  • Translate qualitative and quantitative data and derive insights that inform product work; communicate these with the team.

We’re looking for a motivated data leader who cares deeply about craft and feels energized by opportunities to work across product teams to deliver a cohesive experience for our users. A successful candidate will likely have:

  • 5+ years of analytics experience, with 2+ years managing analytics teams.

  • Experience in Growth or Dashboard teams.

  • Strong data analysis and data story telling skills.

  • Experience with experimental design and analysis on user facing surfaces.

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

  • US employees (any location): $203,100 - $238,900 USD

  • Canadian employees (any location): CAD 184,800 - 217,400

Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

#LI-DNI

 

About the job

Full-time
USA, Canada
$203k-$239k per year
5 Applicants
Posted 1 month ago
data science
science
recruiting
saas
user experience
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Data Science Manager - Experiences

Mercury
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

Back in 1898, E. St. Elmo Lewis had a “lightbulb moment” and sketched out the AIDA (Attention, Interest, Desire, Action) model, launching what we now call the conversion funnel. Over a century later, that original idea of guiding strangers toward becoming loyal customers still drives modern marketing and data science, shaping how we measure and optimize every step of the user journey.

We are looking for a Data Science Manager who can build the theory and connect the dots behind how and why people adopt our core products. In this role, you’ll be responsible for deeply understanding our customers, the systems of distribution for Mercury, designing how we are driving towards the overarching business and financial goals. You’ll work closely with product, engineering, and design to drive topline growth as well as overall user experience for Mercury. 

Responsibilities

  • Lead a team of 4 senior IC data scientists supporting the Experiences organization.

  • Proactively discover and define opportunities to level up the craft, strategy, and execution of our growth and user experience reporting.

  • Set the direction and define prioritized roadmaps for the team; ensuring we’re focused on work that solves user problems, enables product teams, and maximizes customer value.

  • Work in ambiguity and be able to set and achieve priorities that find the perfect balance between both user and business needs.

  • Translate qualitative and quantitative data and derive insights that inform product work; communicate these with the team.

We’re looking for a motivated data leader who cares deeply about craft and feels energized by opportunities to work across product teams to deliver a cohesive experience for our users. A successful candidate will likely have:

  • 5+ years of analytics experience, with 2+ years managing analytics teams.

  • Experience in Growth or Dashboard teams.

  • Strong data analysis and data story telling skills.

  • Experience with experimental design and analysis on user facing surfaces.

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

  • US employees (any location): $203,100 - $238,900 USD

  • Canadian employees (any location): CAD 184,800 - 217,400

Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

#LI-DNI

 

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