Senior Data Scientist

Posted on 5/3/2024



201-500 employees

Partnership automation platform for marketers


Remote in USA

Required Skills
Data Science
Apache Spark
  • 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.
  • 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.

At Partnerize, employees have the opportunity to work on a comprehensive partnership automation platform that is crucial for marketers aiming for sustained, profitable growth. The company stands out due to its strong focus on automation, outcome-based pricing models, and advanced features for fraud prevention and optimization. This environment not only fosters technical enhancement and industry leadership but also provides a dynamic, supportive workplace geared towards the development and success of its partnerships and employees.

Company Stage

Series D

Total Funding



New York, New York



Growth & Insights

6 month growth


1 year growth


2 year growth