Data Scientist (ML)-Senior Associate
Data Scientist (ML)-Senior Associate
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$ 114000 - 170000
1 Vacancy
Job Description
Join a dynamic team dedicated to creating innovative cloud-centric solutions that transform employee experiences.
As a Data Scientist on the Employee Platforms 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 youll engage in end-to-end software development from design to deployment in a fast-paced cloud-native environment that values continuous learning and innovation. Youll 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 field
- Proficient 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)
- Understanding 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.
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).
Required Experience:
Senior IC
Employment Type
Full-Time
