Data Scientist, Awin

Salary not provided
SQL
AWS
Python
R
Tensorflow
Azure
Spark
NumPy
Pandas
Scikit-Learn
Sagemaker
Mid and Senior level
Remote in EU, UK
Awin

Connecting businesses with customers around the world

Be an early applicant

Awin

Connecting businesses with customers around the world

1001+ employees

B2BMarketingConsultingAdvertising

Be an early applicant

Salary not provided
SQL
AWS
Python
R
Tensorflow
Azure
Spark
NumPy
Pandas
Scikit-Learn
Sagemaker
Mid and Senior level
Remote in EU, UK

1001+ employees

B2BMarketingConsultingAdvertising

Company mission

To empower advertisers and publishers of all sizes to grow their businesses online.

Role

Who you are

  • Bachelor's degree or higher in Statistics, Mathematics, Data Science, or Data Engineering, with a focus on Analytics, Artificial Intelligence, or Machine Learning is preferred
  • 4+ years of experience working as a Data Scientist, AI/ML Engineer, or Data Engineer, with proficiency in Python, R, or similar programming languages
  • Strong knowledge of AI/ML frameworks and libraries like Databricks MLOps, Microsoft Azure ML Studio, or Amazon SageMaker, MLlib, MLOps, Scikit-learn, TensorFlow, Matplotlib, and Spark
  • Excellent understanding of AWS or Azure data engineering pipelines, particularly AWS Glue, AWS Lambda, Azure Data Factory, Databricks, and Python (NumPy, Pandas)
  • Solid knowledge of database and dimensional modeling technologies
  • Familiarity with Scrum and Agile practices
  • Proven communication, analytical, and problem-solving skills
  • Strong ability to analyze large datasets, identify patterns, and generate insights using statistical methods
  • Experience in developing, testing, and deploying machine learning models like classification and predictive models, with expertise in algorithms such as decision trees and regression
  • Proficient in data cleaning, preprocessing, and feature engineering to ensure quality and consistency in models
  • Skilled in Python, R, SQL, and familiar with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PySpark
  • Collaborative approach to working with Data Engineers and teams to integrate and optimize machine learning models for performance and scalability
  • Capable of documenting methodologies and processes clearly, and continuously adapting models based on the latest advancements
  • Experience mentoring junior data scientists and fostering knowledge sharing across the team
  • Strong customer focus and service attitude
  • A team player and ability to work on own self
  • Proactive approach to tasks & challenges

What the job involves

  • Data sits at the heart of the company. This role is to ensure that Awin is able to leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client facing departments
  • As a Data Scientist, your responsibility is to leverage advance statistical methods and machine learning algorithms to analyze complex dataset and extract actionable insights that drive business decision
  • You will develop, test, and deploy predictive models, ensuring scalability and optimal performance, while collaborating closely with Data Engineers to maintain data quality and consistency
  • Within the role, you will be creating and optimizing features, building reusable data pipelines, and clearly documenting processes and methodologies. Additionally, you will also refine existing models based on new data and advancements, mentor junior team members, and promote a collaborative, data-driven culture
  • Analyze and interpret complex datasets using statistical methods and machine learning algorithms to extract actionable insights
  • Develop, test, and deploy predictive and classification models, optimizing them for performance and scalability
  • Collaborate with Data Engineers to clean, preprocess, and structure data, ensuring quality and consistency throughout the workflow
  • Create and optimize features for models, building reusable pipelines with engineers and leveraging domain knowledge
  • Document processes and methodologies clearly, and present results and insights in an actionable way to stakeholders
  • Continuously refine models based on new data and advancements, while mentoring junior team members and fostering collaboration

Our take

Serving a global community of advertisers, agencies, and publishers, Awin provides its clients with tailored business insights, connecting companies with customers across the world by fostering trusted partnerships to drive sustainable growth.

The company’s global affiliate network is spread across 17 offices worldwide, with more than 250,000 contributing publishers and over 25,000 advertisers, and it has made strong partnerships with major companies including ShareASale and Sideqik. Its solutions generated 200 million sales for its advertisers in 2022.

The company has been focusing on boosting its network of agencies and is already turning the conversation toward the future of affiliate marketing (such as metaverse advertising). Awin has shown a high level of adaptability within the market and is well poised to see further substantial growth.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

6% employee growth in 12 months

Company

Funding (2 rounds)

Jul 2014

$0.2m

SEED

Mar 2014

$2.5m

SEED

Total funding: $2.7m

Company benefits

  • Private Health/Vision/Dental Insurance
  • Up to 28 Days Annual Holiday
  • 2 Paid Days Off/Year to Volunteer During Working Hours
  • In-House Language Courses
  • Subsidised Corporate Gym Membership
  • Childcare Vouchers
  • Cycle to Work Scheme
  • Personal & Business Travel Insurance
  • Medical, dental and optical insurance
  • Season ticket loan
  • Free fruit and sweets

Company HQ

Prenzlauer Berg, Berlin, Germany

Leadership

Adam Ross

(CEO, not founder)

Was COO before becoming CEO at Awin. Former COO of Affiliate Window.

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