Senior Data Scientist, Greater London

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The partnership channel offers scale and automation on a pay-for-performance model that delivers the operating leverage necessary for brand survival. Partnerize empowers marketers with technology built to discover, engage, and convert audiences, at scale, all while maintaining brand safety and control.

Why Join Us?

Our commitment to growing partnerships doesn’t end with our clients. Our employees are carefully selected to be a part of our company because they emulate a carefully crafted and practiced set of core values that define us and our business. Joining Partnerize means joining a company that sincerely values your talent, expertise, and passion. We strive each day to hire and retain only the best. Doing so affords us the opportunity to be the best in the business, to exceed our clients’ expectations, to innovate, to teach—and most importantly—to earn and maintain our clients’ loyalty.

The things you care about

At the heart of our platform, we track performance marketing data and build solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale!

We are looking for a highly skilled Data Scientist to join our team. The ideal candidate should have extensive experience in data exploration, machine learning, Python, SQL, Spark, and version control using Git.

As a Senior Data Scientist at Partnerize, you will:

• Lead the end-to-end development and deployment of machine learning models into production, from data exploration and feature engineering to model training, evaluation, and monitoring.
• Collaborate with cross-functional teams to understand business requirements, identify opportunities for leveraging machine learning, and define success criteria for model performance.
• Apply machine learning techniques to solve complex problems, such as classification, forecasting, clustering, and recommendation, across diverse domains.
• Utilize Python programming and data engineering skills to preprocess and analyze large datasets, using tools such as Spark and Pandas.
• Containerize machine learning models for efficient deployment and scaling.
• Design and optimize SQL queries to extract and manipulate data from relational databases, ensuring data quality and integrity.
• Monitor model performance and health in production, and implement strategies for model retraining, tuning, and updating as needed.
• Mentor and coach junior data scientists, and contribute to the continuous learning and development of the data science team.
• Exhibit strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and influence decision-making.

You are a Senior Data Scientist with:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science roles, with a focus on building and deploying machine learning models into production.
• Proficiency in Python programming and libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch for machine learning.
• Experience with distributed computing frameworks such as Spark for processing large-scale datasets.
• Strong knowledge of containerization technologies such as Docker.
• Proficiency in SQL and experience working with relational databases such as PostgreSQL, MySQL, or BigQuery.
• Experience with data visualization tools such as Matplotlib, Seaborn, Plotly, or Tableau.
• Experience using API frameworks such as Flask or Fast API.
• Strong problem-solving and analytical skills, with a proven track record of delivering impactful solutions to complex business problems.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and influence decision-making.

We hope you have:

• Experience working in Agile or DevOps environments, with a focus on CI/CD practices and automation.
• Familiarity with distributed query engines, such as Druid, and experience optimizing queries for performance.

We are looking for a highly skilled Senior Data Engineer to join our team. The ideal candidate should have extensive experience with Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, Apache Spark, and Hive.

As a Senior Data Engineer at Partnerize, you will:

• Design, build, and maintain data pipelines using Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, Kafka and Apache Spark.
• Integrate large sets of data from numerous internal and external sources.
• Ensure the reliability and performance of data systems by implementing best practices for data quality, security, and scalability.
• Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.
• Collaborate with data scientists and other stakeholders to support data-driven decision making and implement data solutions.
• Design and implement data models and explain trade-offs of different modeling approaches.
• Stay up to date with the latest developments and technologies in the data engineering field.

You are a data engineer with:

• Strong experience with Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, and Apache Spark.
• Experience with data warehousing, data modeling, and ETL data pipelines design, implementation, and maintenance.
• Good knowledge of software engineering practices and hands-on experience with writing Python production-level code.
• Good knowledge of SQL and approaches to query optimization.
• Strong understanding of data security and privacy principles.
• Excellent problem-solving and critical thinking skills.
• Strong communication and collaboration skills.

We hope you have:

• Good understanding of CI/CD.
• Experience of working in an Agile environment and understanding of key agile practices.
• Experience with data management for BI tools like Tableau.

25 days holiday in addition to bank holidays.

Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment.

5 extra ‘Partnerize Parental Days’ each year.

Private Medical Insurance through Bupa.

Enhanced pension contributions.

Cycle to Work scheme.

Eye Care Vouchers.

Life Assurance.

Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program.

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