AI/ML Job: Senior Data Analyst, Fraud


Senior Data Analyst, Fraud at Beat

🇳🇱 Netherlands › Amsterdam
  (Posted Oct 23 2021)

About the company
Beat is one of the most exciting companies to ever come out of the ride-hailing space. One city at a time, all across the globe we make transportation affordable, convenient, and safe for everyone. We also help hundreds of thousands of people earn extra income as drivers.

Today we are the fastest-growing ride-hailing service in Latin America. But serving millions of rides every day pales in comparison to what lies ahead. Our plans for expansion are limitless. Our stellar engineering team operates across a number of European capitals where, right now, some of the world’s most ambitious and talented engineers are changing how cities will move in the future.

Beat is currently available in Greece, Peru, Chile, Colombia, Mexico and Argentina.

Job description
About the role

We're accepting these challenges by applying data, advanced analytics and machine learning to problems in fraud & safety, payments, logistics, routes, personalization, search, pricing, experimentation and more. Our Data Analytics team is at the heart of this effort and is an essential ingredient in Beat’s aggressive growth plan and vision for the future.

As a Data Analyst in Fraud, Safety & Payments, you will take on some of our biggest marketplace challenges such as identifying fraud patterns, solving safety issues, cracking hard cases in payments and even helping authorities to catch criminals. Your work will impact the entire marketplace, so you’ll have the opportunity to make an immediate difference. Your day-to-day will involve close collaboration with stakeholders across product, operations, machine learning, data engineering, and technology.

What you'll do day in day out:
Contribute to solving challenging two-sided marketplace problems, using data analytics practices and solutions.
Help articulate the vision and direction for the near-real-time reporting and analysis
Understand user behavior with regards to fraud, safety & payments.
Design and implement dashboards and ad hoc reports in a clear and concise way
Evaluate new unseen fraud patterns and help on building analytics methodology
Work together with the product and analytics teams to identify and deliver high impact product improvements and optimizations.
Keep yourself updated with advances in the fields related to ride-hailing and micro-mobility.
Mentor other data members of the team, build a strong culture of Data Analytics in the domain and ensure that we have the right knowledge and tools to solve problems.

What you need to have:
Educational background in Maths, Statistics, Data Science, Computer Science, Machine Learning, Economics or other quantitative discipline or equivalent experience.
At least 5 years of hands-on experience in data analysis methodologies and dashboarding in a fast-paced environment.
Knowledge of SQL and other query languages
Extensive experience in building dashboards and reports using such tools as Tableau, Qlik and PowerBI
Fluency in data visualization
Knowledge of Python/R and machine learning libraries is a plus, but not necessary in the beginning. We will help you to build your data science skills if you choose to develop your career that way
Having experimentation and hypothesis testing mindset and (preferably) experience in A/B testing
Exemplary communication skills, ability to work with cross functional teams, including technical and non-technical team members.
Strong commercial awareness, ability to clarify ambiguity and balance priorities.
Ability to clearly communicate your point of view
Flexibility in approaches and techniques
Deep belief in data and ability to rally people behind your findings/recommendations.

What’s in it for you:
Competitive full-time salary
Defined contribution Pension plan
Flexible working hours, top Line tools.
Work permit cost covered
Commuter Benefits Program
Working in a hyper-growth environment, you will enjoy numerous learning and career development opportunities
Breakfast, high-quality daily lunch on a very low cost, fruit and snacks all day long
A great opportunity to grow and work with the most amazing people in the industry
Being part of an environment that offers challenging goals, autonomy and mentoring, which creates incredible opportunities, both for you and the company.


Company: Beat

job info / career page
Linkedin profile
Github: beatlabs
Location: Amsterdam, Netherlands

map of company location

Skills wanted for this job:
python r sql

Other machine learning jobs that might be interesting

Machine learning job Engineering Manager, Platform & Text Extraction at OM1 Engineering Manager, Platform & Text Extraction - OM1   (December 2021)
Boston, Massachusetts, United States
OM1 is on a mission to improve health outcomes by unlocking the power of data. We are a healthcare data and technology company focused on real world clinical data and outcomes, accelerating medical research and personalizing healthcare. Our interdisciplinary te...
Machine learning job Sr. Machine Learning Engineer at Issuu Sr. Machine Learning Engineer - Issuu   (November 2021)
Copenhagen, Denmark
We are looking for a Machine Learning engineer to join our Core Content team. The focus of the team is to deepen the understanding of how machine learning can scale the company. The team isworking on 50M+ PDF documents (catalogues, magazines, etc.) to figure...
Machine learning job Data Science and Machine Learning Specialist at Hawk-Research Data Science and Machine Learning Specialist - Hawk-Research
Worldwide, 100% Remote - Salary: 18000-25000
Hawk-Research is looking for Data Science specialists with knowledge of Data Mining, Machine Learning, Electronics Engineering to provide assistance with our projects in academic research sphere. We are building a knowledge sharing platform to help people durin...

Machine learning job Computational Scientist I, Genome Aggregation Database at Broad Institute of Harvard and MIT Computational Scientist I, Genome Aggregation Database - Broad Institute of Harvard and MIT   (November 2021)
Cambridge, Massachusetts, United States
Since 2016, the Genome Aggregation Database (gnomAD) has been a pioneer in human genomic data aggregation through the regular public release of data for a rapidly growing collection of exomes and genomes sampled from diverse populations across the globe. gnomAD...
Not the machine learning job you are looking for?
Browse all machine learning jobs and we're sure you will find a suitable one!
Browse machine learning jobs with similar combinations of skills
Machine learning jobs with python Machine learning jobs with r Machine learning jobs with sql