Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist, Growth Analytics

Moloco, Inc.
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist, Growth Analytics

Senior Data Scientist – CLV & Next Best Action

Senior Data Scientist - Product Analytics London, England

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms.

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023 . That same year, we also received Google’s Cloud DevOps Dreamers Award , given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work !

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You'll Be Contributing to Moloco:

Data Science and Analytics (DSA) is a global team of data scientists. As a Senior Data Scientist, Growth Analytics you will provide data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

Here’s what you’ll be working on:

Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models.

  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.

How Will You Know if the Role is Right For You?

  • Bachelor's degree in a quantitative field with 7+ years work experience in data analytics using statistical packages (e.g., SQL, Python, R, SAS, Stata, MATLAB).
  • OR a Master’s degree in a quantitative field with 5+ years data analytics work experience using statistical packages.
  • OR a PhD in a quantitative field with 3+ data analytics work experience using statistical packages.
  • Programming: working knowledge of SQL and Python (or R) is required.
  • Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.
  • Professional experience in marketing science, ideally within the ad-tech sector.
  • Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
  • Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders.
  • Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
  • Ability to work effectively with cross-functional and cross-cultural partners.
  • An interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.

Preferred:

  • Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
  • Ability to manage multiple projects at the same time while paying attention to detail.
  • Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
  • Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.
  • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  • Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

  • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
  • Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
  • Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
  • Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

Interested in building your career at Moloco? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone *

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Preferred First Name (English) *

If hired, this name will be used for your Moloco email address and across other systems.

Legal First Name (English) *

Legal Last Name (English) *

LinkedIn Profile

Do you have authorization to work in this job's location? * Select...

Will you now or in the future require sponsorship to work for Moloco? * Select...

Please summarise your professional experience in marketing science and/or ad-tech. *


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.