Senior Data Scientist

Key Skills

AWS, Azure, Google Cloud Platform (GCP), NumPy, Pandas, Python Programming, R Programming, SQL

Job Description

Kargo is looking for a Data Scientist who is eager to make an impact by doing real, hands-on research and development. Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems. A desire to work with large data sets and apply creative thinking is required. Kargo is a place where data scientists and engineers are passionate about their work, model building, data, and technology.

This role will help the Data Science team to solve the unsolved. They will use their knowledge in analytics and statistics to create new algorithms and data products that aid in advertising decisions and outcomes.

What You’ll Do:

• Dig into Kargo’s unique product challenges, and go beyond generic out-of-the-box algorithms to think critically and creatively about Kargo’s business problems and product needs
• Participate in the full software development cycle: design, develop, QA, deploy, experiment, and analyze
• Collaborate across disciplines to find technical solutions to complex challenges, and share the results of your work with non-technical audiences
• Write production-level code to perform experiments, prototype new data products and apply machine learning algorithms on very large datasets

Who You Are:

• A story-building quantitative-problem solver with the ability to interpret and visualize data in a business context, ideally with an advanced degree in a STEM (science, technology, engineering & mathematics) field. Applied Mathematics or Statistics is preferred.
• A strategic thinker with a deep interest in advertising, media, analytics and/or marketing
• Highly organized and detail-oriented, capable of juggling several tasks at once
• A strong communicator, with both technical and non-technical audiences
• Able to work independently and as part of a team
• Naturally curious, resourceful and motivated
• Experience working with relational databases required (SQL)
• Deep knowledge of Python, R or Scala is necessary
• Practical experience in research & experimental design. Use of techniques in
• A practical understanding of how and when to implement machine learning algorithms and familiarity with one or more popular packages (e.g. sklearn, numpy, pandas)
• Comfortable with learning and deploying new techniques. Ranging from graph theory, NLP to optimization
• Nice to have: experience with cloud computing (e.g. Databricks, AWS, GCP, Azure) and ability to scale data science solutions to very large datasets

The Perks:

• Competitive salary plus annual bonus scheme
• 25 days annual leave with an additional day per year of service
• 3 x company days (Good Friday, Christmas Eve, New Year’s Eve)
• Office lunch daily
• Membership of SETU Arena gym
• Company health insurance
• Employer contributory pension
• Permanent Health Insurance/Death in Service protection
• Regular all company socials
• Employee referral scheme
• Office perks - snacks, tea/coffee, games room, breakfasts
• A fun and flexible working environment

The Recognition:

Kargo and Kargo leadership are regularly recognized for the company’s growth and achievements, including:

• Martech Breakthrough Awards’ Best Overall AdTech Company (2023)
• B&T’s Best Media Platform (2021)
• Digiday Awards’ Media Award for Best Digital Product Innovation (2021)
• Martech Breakthrough Awards’ Content Management Innovation (2021) (2017)
• Three MMA Smarties (2018)

When you apply to a job on this site, the personal data contained in your application will be collected by Kargo Global LLC. (“Controller”), which is located at 826 Broadway New York, NY 10003 FL5 and can be contacted by emailing mike.kendall@kargo.com. Controller’s data protection officer is Vincent Potier, who can be contacted at vincent.potier@kargo.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses. You can obtain a copy of the standard contractual clauses by contacting us at privacyinfo@kargo.com.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.