Data Scientists (Revenue Analytics)

Digitalocean; A distancia; MXN 1,611,000 - 2,149,000; Jornada completa

Descripción de la vacante

A leading cloud service provider in Mexico is seeking a Data Scientist to join their Revenue Analytics team. You will analyze large data sets to derive insights that drive customer growth and support strategic initiatives. The ideal candidate will possess strong coding skills in Python or R, experience with predictive modeling, and a passion for utilizing data to impact company strategy. This remote role offers competitive compensation and benefits including health insurance and employee development opportunities.

Servicios

Competitive health, dental, and vision benefits

Monthly gym reimbursement

Commute or internet allowance

Generous parental leave

401k plan with employer match

Professional development reimbursement

Formación

• Proven experience in large-scale data sets, both structured and unstructured.
• Experience in causal inference, time-series analysis, and predictive modeling.
• Strong coding skills in Python, R, and SQL.

Responsabilidades

• Perform analyses on large sets of data to extract insights.
• Work cross-functionally to support customer growth.
• Execute data science projects from design to production.

Conocimientos

Large-scale data analysis

Causal inference & experimentation

Time-series analysis

Predictive modeling

Coding in Python/R

SQL proficiency

Growth marketing

Herramientas

Segment

Looker

Descripción del empleo

Do you ever wonder what happens inside the cloud?

We want people who are passionate about creating products that millions of developers will love.

We are looking for a motivated, data-driven and results-oriented self-starter who is passionate about using data to derive insights to join our Revenue Analytics team.

Our key focus is to accelerate Self-Service and Sales revenue across the entire customer journey - from new customer acquisition to retention and cross-sell / upsell.

With a portfolio of hundreds of thousands of paying customers, you will lead insights at scale to find new user growth opportunities across the Self-Service and Sales customer journeys by helping more of our customers to discover the value of DigitalOcean through engaging, differentiated experiences.

The focus will be on providing insights that will result in key high-value strategic initiatives.

You will be one of the key members of a broader analytics team, driving improvements in user acquisition, engagement and long-term growth at scale by measuring and optimizing new channels, platforms and strategic marketing initiatives backed by systematic testing and optimization.

As a Data Scientist, your mission is to turn our data into insights and gain a deep understanding of our users to impact the strategy and direction of DigitalOcean.

You will study user behavior, marketing strategies, markets, content, new features and bring data and insights into every decision we make.

Above all, your work will impact how we think about user growth and how we can make DigitalOcean available and accessible for more people in the world.

What you'll be doing :

• Perform analyses on large sets of data to extract insights that will help drive DigitalOcean's strategy across the user funnel


• Work cross-functionally with the Revenue organization, Product, Engineering, Design BizOps and User Research to propel DO's customer growth forward


• Drive end to end execution of data science projects, from experimental design and analysis of test results to building predictive models and assisting engineers to productionize the model


• Establish and maintain a culture of rigor and curiosity to drive tangible business impact

What We'll Expect From You :

• Proven experience with:


• Large-scale data sets in both structured & unstructured formats


• Causal inference & experimentation, time-series analysis, and building predictive models related to churn reduction or revenue expansion


• Helping engineering teams move models from prototype to production


• Experience with growth marketing for a tech company preferred


• Coding skills (such as Python / R and SQL) and analytics tools experience (Segment, Looker, or similar tools)


• Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations


• Experience with international markets, growth marketing, web platforms or content marketing a plus

Why You'll Like Working for DigitalOcean :

• We value development .


• We care about your physical, financial and mental well-being .


• We support our remote employee experience .


• We value diversity and inclusivity .


• This is a remote role


• #LI-Remote_

You will work with some of the smartest and most interesting people in the industry.

We are a high-performance organization that is always challenging ourselves to continuously grow.

We maintain a growth mindset in everything we do and invest deeply in employee development through formalized mentorship, LinkedIn Learning tracks, and other internal programs.

We also provide all employees with reimbursement for relevant conferences, training, and education.

We offer competitive health, dental, and vision benefits for employees and their dependents, a monthly gym reimbursement to support your physical health, and a commute or internet allowance to make your trips to your office or your desk easier.

We offer generous parental leave with transition time built-in upon return to work.

We offer competitive compensation and a 401k plan with up to a 4% employer match.

While we have great office spaces in NYC, Cambridge and Palo Alto, we're very distributed—we use a number of communication tools to connect across the company—and all remote employees have the opportunity to visit our offices and meet their teams face-to-face at team offsites.

We also have an annual company offsite, Shark Week, to get quality in-person time with the entire company at least once a year.

We also allow employees to outfit their workstations to meet their needs—whether remote or in office.

We are an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.