Junior Data Scientist

Join the dynamic team at PPLSI (LegalShield) as a Junior Data Scientist, where you'll play a pivotal role in our highly effective engineering department. Working closely with business teams, data engineering, and analytics departments, you'll grow to be instrumental in creating, maintaining, and developing sophisticated machine learning models aimed at driving key business outcomes such as growth, retention, and product enhancements. This role offers a unique opportunity to contribute directly to the organization's success, reporting directly to the Director of Data Science and interacting regularly with senior business leaders including the CTO and Senior Director of Data Engineering.

Responsibilities:

• Model Maintenance and Enhancement: Take ownership of the ongoing maintenance and iterative improvement of existing machine learning and AI models to ensure they continue to deliver optimal performance.
• Model Development: Collaborate in the design and development of new predictive models, including tasks such as feature engineering, data preparation, and model training.
• Monitoring and Decay Detection: Assist in the implementation of monitoring systems to track model performance and detect any signs of model decay, ensuring prompt and effective responses to potential issues.
• Reporting and Presentation: Regularly report on model results and insights, presenting findings in a clear and impactful manner to stakeholders and business leaders to support informed decision-making.

Qualifications:

Required:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• 1-2 years’ experience in data science, with a solid foundation in machine learning, statistics, and data analysis.
• Proficient understanding of machine learning techniques and algorithms.
• Dedicated work ethic and passion for data, excellent problem-solving skills and ability to translate complex data into actionable insights.
• Effective communication skills with the ability to present data-driven insights clearly to technical and non-technical audience.

Preferred:

• Experience with programming languages such as Python with Jupyter Notebooks.
• Experience with SQL and experience in working with large datasets.
• Experience with data science toolkits and libraries such as scikit-learn, TensorFlow, or similar.
• Preferred hands-on experience with Snowflake, Redshift, or similar for data warehousing solutions and data transformations.
• Preferred proficiency in using a BI Tool, like Tableau, for data visualization and business intelligence.

Additional Information:

Performance Outcomes:

• Successful development and maintenance of data systems and solutions, as described in the responsibilities above
• Successful engagement and collaboration with others:
• Work closely and effectively with teammates, which may include data engineers, software engineers, program/product managers, software test engineers, and others
• Contribute to the implementation of dynamic requirements/initiatives with teammates, cross-team collaborators, and with business partners as appropriate

Physical Demands:

• Prolonged periods of sitting or standing at a desk
• Extensive periods of working on a computer

Location: Ada

Department: 9310 Engineering

Time Type: Full time