Join a dynamic team dedicated to creating innovative, cloud-centric solutions that transform employee experiences.

As a Data Scientist on the Employee Platform’s Innovation Studio Team, you will play a pivotal role working closely with the Workforce Business and Technology team. 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 the employee experience by delivering cutting-edge technology solutions. Each day, you'll engage in end-to-end software development, from design to deployment, in a fast-paced, cloud-native environment that values continuous learning and innovation. You'll need to leverage your expertise in data science to develop innovative solutions and tools that deliver impactful results across the organization. This role invites you to bring your blend of technical proficiency and business acumen, enabling effective communication and collaboration with business stakeholders to achieve our shared organizational goals. 

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.Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc.Handle large amounts of data from multiple and disparate sources, employing advanced Python and SQL techniques to ensure efficiency and accuracy.Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols.

Required Qualifications, Capabilities, and Skills:

Bachelors or Masters in Computer Science or related fieldProficient programming skills in python and knowledge of software engineering best practicesStrong knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)Understanding of the main deep-learning frameworks such as PyTorch, TensorFlow, KerasExperience with Linux and shell scripting and experience with LaTeXSolid understanding of traditional data science techniques and experience with data engineer pipelines for big dataSolid knowledge of RNNs, and LSTMs models.

Preferred Qualifications, Capabilities, and Skills:

HR, Payroll, Incentive Compensation and other workforce related experience preferred.Experience in big data platforms such as Databricks, AWS EMR, Sagemaker, Apache Glue, Spark, etc.Experience/understanding of cloud storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases).