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Senior Data Scientist

Feedzai · Atlanta, GA

Location
Atlanta, GA, United States
Level
Senior
Posted
Today

About this role

At Feedzai, we're building a world of safer money. A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in real time. We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in payment volume every year.

Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Join Us!

Your Day to Day:

  • Understanding the data which our clients provide to us;
  • Cleaning that data and validating that it is correct;
  • Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc.;
  • Iteratively computing features and tuning parameters to improve the quality of the model;
  • Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project;
  • Work together with key stakeholders (data scientists, engineers, risk managers) from our clients;
  • Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.

You Have & You Know-how:

  • MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field;
  • Proficient in Machine Learning (training and testing, avoiding overfit, etc.);
  • Knowledge of Big Data technologies such as Spark, Hadoop and related;
  • Proficiency in bash, Python and either Java or Scala;
  • Knowledge of resource monitoring and runtime optimization (both at JVM and OS level);
  • Superior oral, presentation, and written communication skills;
  • Fraud & Digital business domain experience (preferrable);
  • Customer facing experience is a plus;
  • Knowledge of statistics or data visualization is a plus;
  • Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus;

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us!

#LI-Remote #LI-BX1


Your First 30-Days at Feedzai:

You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!

Life at Feedzai Instagram

Feedzai Culture


Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Feedzai does not accept unsolicited resumes from recruiters or employment agencies.

Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.

As published by Feedzai. Applications are handled on their site.

One click, then it is written

Apply to Feedzai with a resume written for this role.

Queue Senior Data Scientist and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Feedzai’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
  • No card
  • Nothing sent until you say so

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Put this to work

Paste your career in once. Every application after that is written for you.

Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

Listed from the job board Feedzai publishes. Refolk is not the employer and does not handle their hiring. Applications go to Feedzai directly.