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.