110 applicants
Discovery Education · 3 days ago
Senior Data Scientist
Charlotte, NC
Full-time
Onsite
Senior Level
4+ years exp
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Responsibilities
Lead the selection, collection, cleaning, and preprocessing of large datasets, including textual data, ensuring their readiness for advanced model training and insightful analysis.
Perform exploratory data analysis on both numerical and textual datasets to extract insights that drive the development and refinement of machine learning models.
Cultivate expertise in the application of ML and statistical models to various business problems.
Contribute to the integration of AI and ML technologies within our products.
Serve as an intellectual leader in defining and standardizing evaluation methodologies, actively guiding stakeholder discussions to establish and implement robust metrics that assess model performance in alignment with strategic objectives and product requirements.
Oversee the optimization of models for improved accuracy, efficiency, and scalability, including the deployment of models into cloud-based and production environments.
Collaborate closely with software engineering teams to ensure seamless integration of models into applications and systems, enhancing user experience and product value.
Maintain responsibility for the documentation of data products, ML models, data pipelines, and technical strategies, ensuring transparency and reproducibility.
Stay abreast of industry trends and technological advancements in modern data science (e.g. LLMs) and the broader field of EdTech, supporting a culture of continuous learning and innovation within the team.
Experiment with and recommend new data science techniques and technologies to advance our educational technology solutions.
Mentor junior data scientists & analysts, fostering a culture of learning and growth within the team by sharing knowledge, best practices, and providing constructive feedback on their projects and development.
Qualification
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Required
Bachelor's degree (computer science, data science, physics, mathematics, economics, or related field) with 4+ years experience in data science, or Master's degree with 3+ years experience in industry data science, or Ph.D. with 2+ years in industry data science following completion.
Strong communication skills are expected for this role.
Experience with product analytics frameworks and product evaluation best practices.
Demonstrated track record building successful data products for stakeholders or developing ML models for production environments with an emphasis on evaluation.
Expertise in graph databases and network analysis is highly regarded.
Competent programming skills in Python, R, or Java, and experience with machine learning libraries and frameworks. Ability to write clean, efficient, and production-ready code.
Proficient in data manipulation and analysis tools (e.g., Pandas, NumPy) and familiar with data visualization technologies (e.g., Matplotlib, Seaborn).
Experience with cloud computing and MLOps tools and best practices (e.g., AWS, Azure, Sagemaker, Docker, Prefect, MLFlow).
Exceptional problem-solving capabilities and attention to detail.
Adept at collaborating with cross-functional teams to drive product innovation.
Legal right to work in the United States.
Preferred
Experience with LLMs for natural language processing tasks is a plus.
Experience with product development methodologies such as Agile is a plus.
Benefits
Medical-Dental-Vision
Health Care Dependent Care
Short & Long Term Disability
Summer Hours
Life Insurance
401(k)
FSA/HSA
Paid Time Off
Volunteer Time
Employee Assistance Program
7 Paid Holidays + Annual Winter Holiday Break (Typically the last week of December)
Company
Discovery Education
Discovery Education offers standards-aligned digital curriculum resources and engaging content for K-12 classrooms. It is a sub-organization of Warner Bros. Discovery.
501-1,000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2022-03-09Acquired· by Clearlake Capital Group
Leadership Team
Jeremy Cowdrey
Chief Executive Officer
Recent News
2024-02-23
2023-11-20
Company data provided by crunchbase
