Data Scientist, Senior Associate

Revolutionize the future of Employee Platforms with cutting-edge AI and Data Science! Join a dynamic team dedicated to creating innovative, cloud-centric solutions that transform client experiences and drive industry-leading advancements.

As a Data Scientist, Senior Associate in Employee Platforms, you will collaborate with a team of innovators to develop AI/ML solutions. Your work will directly impact our ability to provide exceptional service to clients by delivering cutting-edge technology solutions. Each day, you will engage in end-to-end software development, from design to deployment, in a fast-paced, cloud-native environment that values continuous learning and innovation. Your contributions will help keep our Employee Compute services at the forefront of the industry.

Job responsibilities

• Develop and deploy machine learning models and generative AI capabilities.


• Design, code, test, and debug applications.


• Collaborate with cross-functional teams to achieve common goals.


• Keep stakeholders informed on development progress and benefits.


• Manage project lifecycle and software development deliverables.


• Solve complex problems and handle ambiguity with strong analytical skills.

Required qualifications, capabilities, and skills

• Bachelors or Masters in Computer Science or related field


• Strong programming skills in python and knowledge of software engineering best practices


• Strong knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)


• Strong knowledge of the main deep-learning frameworks such as PyTorch, TensorFlow, Keras


• Experience with Linux and shell scripting and experience with LaTeX


• Solid understanding of traditional data science techniques and experience with data engineer pipelines for big data


• Solid knowledge of RNNs, and LSTMs models 


• 3+ years of experience in similar roles

Preferred qualifications, capabilities, and skills

• Experience with cloud-native development and deployment- Knowledge of AWS cloud services is a plus.


• Familiarity with project lifecycle and version control practices.


• Experience with machine learning algorithms on graphs.


• Strong ability to collaborate in a diverse, global team environment.