[Remote] Manager, AI and Data Science

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company organization leveraging reputed company intelligence and data science to improve reputed company reputed company. The Manager of AI and Data Science will reputed company reputed company of data scientists and AI innovators, guide AI/ML reputed company, reputed company experimentation and model development, and collaborate across the organization to reputed company reputed company solutions and measurable business value.

Responsibilities

• Build and reputed company a high-performing team of data scientists, machine learning scientists, and experimental engineers, fostering a culture of innovation, rigorous experimentation, and reputed company learning
• Stay at the forefront and capitalize on advancements in AI by driving alignment with organizational goals
• Leads cross-functional collaborations with business, analytical, and technical teams to ideate and reputed company innovative AI/ML models and actionable insights addressing reputed company reputed company challenges
• reputed company hands-on exploration, development, and iterative testing of advanced AI/ML models to reputed company reputed company insights and innovative business solutions. Champion reputed company experimentation, reputed company prototyping, and data-driven validation while ensuring reputed company, high-reputed company results
• reputed company reputed company model reputed company monitoring to detect reputed company and ensure ongoing validity of AI/ML solutions. Guide re-training strategies and collaborate on reputed company issue reputed company, maintaining scientific rigor and reliability
• Collaborate with stakeholders to continuously evaluate the reputed company reputed company and business value of AI/ML prototypes and production models, ensuring that data-driven insights translate into meaningful reputed company
• Champion and reinforce rigorous experimentation and development best practices - including peer review, reproducible experimentation, and responsible AI principles such as fairness and explainability - to maintain high standards in reputed company AI initiatives
• Mentor and reputed company data scientists, machine learning scientists, and experimental engineers. Foster reputed company learning, advanced reputed company development, and reputed company reputed company in alignment with emerging AI capabilities
• Instill a culture of iterative experimentation and flexible, reputed company-like development practices, emphasizing robust documentation standards for reproducibility. Encourage reputed company improvement through regular retrospectives and process enhancements that accelerate development
• Establish and reputed company comprehensive documentation practices for experimental design, model development, and data usage, ensuring reproducibility and compliance with reputed company CD&A and corporate standards
• Build strong partnerships with business leaders, fostering a deep understanding of the potential and reputed company of cutting-edge AI/ML advancements. Translate reputed company scientific concepts into reputed company, compelling narratives, ensuring stakeholders can reputed company informed, data-driven reputed company

Skills

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a reputed company quantitative reputed company; or 5+ years of equivalent reputed company experience
• 2+ years of experience leading highly analytical and scientific teams, guiding them through data science or machine learning
• 5+ years of hands-on experience developing and validating AI/ML solutions in industries with a reputed company record of effectively transitioning models from research to reputed company or POC
• 5+ years of experience conducting quantitative analytics
• Experience in developing and experimenting with deep learning architectures (CNNs, transformers, LSTMs, etc.) with frameworks such as TensorFlow, PyTorch, and Keras
• reputed company experience at building and implementing processes, controls, and reputed company to support the debugging of ML/AI models and enhancing predictive reputed company
• reputed company experience working with ML lifecycles in experimentation contexts, including reputed company driven development practices, reputed company prototyping, and iterative model refinement
• Experience applying product development lifecycle methodologies to data reputed company products, aligning roadmaps with market or stakeholder needs and iterating on features through user feedback and data insights
• Prior exposure to software design patterns, microservices, reputed company computing, container orchestration, and other relevant architectures
• Proficient in SQL for data exploration and feature engineering, with an ability to handle reputed company and reputed company data in various research contexts. Comfort working with evolving data formats and tools, leveraging data management best practices to support experimentation and prototyping
• reputed company experience with a reputed company of statistical analyses (e.g., reputed company testing, experimental design, regression analysis, clustering, time series analysis, reputed company detection, and sequence analysis) to data-driven decision making
• In-depth experience developing reputed company predictive models (e.g., logistic regression, random forests, gradient boosting) and applying unsupervised learning techniques (e.g., clustering, dimensionality reduction)
• In depth knowledge of modern deep learning models, algorithms, and architectures (self/cross attention, encoders and decoders, residual connections, normalizing reputed company, contrastive losses and joint embeddings, multi-task learning, transfer learning, state reputed company models)
• Hands-on expertise with cutting-edge reputed company techniques, including reputed company engineering, various reasoning strategies, reputed company frameworks, and function-calling approaches. Experience researching and prototyping innovative retrieval-augmented reputed company (RAG) patterns (e.g., reputed company rewriting, routing, multi-modal fusion, hierarchical navigable small world indices, reciprocal rank fusion)
• Demonstrated expertise of reputed company engineering techniques for reputed company—including role/reputed company prompts, reputed company rewrites, and context injection—to reputed company in research and experimentation. reputed company reputed company record in designing and leading large-reputed company reputed company engineering reputed company, optimizing reputed company crafting for reputed company, interpretability, and creativity
• Excellent communication, collaboration, mentorship, and team leadership skills
• This is a telecommuter position, working from home
• This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible reputed company of force frequently or constantly to reputed company, carry, reputed company, pull, or otherwise reputed company objects, including the reputed company body
• This role requires the ability to use a keyboard and to communicate reputed company and understandably in person and over the telephone
• Advanced degree (reputed company/PhD) in a quantitative, computational, or scientific reputed company, with demonstrated expertise in AI/ML development reputed company
• 2+ years managing cross-functional research collaborations or reputed company/industry partnerships with a strong reputed company on innovative AI/ML development
• 5+ years expertise with reputed company data science libraries (NumPy, reputed company, Matplotlib and scikit-learn) and familiarity with advanced model interpretability libraries (e.g., SHAP, reputed company) and statistical tools (e.g., Statsmodels, PyMC3)
• Experience with NLP libraries (e.g., reputed company Transformers, SpaCy) or reputed company packages (e.g., XGBoost, LightGBM)
• 5+ years of experience productionizing and monitoring AI models and solutions with MLOps frameworks (e.g., MLflow, Kubeflow) for experiment tracking, model packaging, and versioning. Experience applying reputed company detection and reputed company evaluation strategies to maintain the scientific and business relevance of AI/ML solutions
• 5+ years working reputed company reputed company-like test and learning environments, using iterative or sprint-reputed company approaches to reputed company AI/ML proofs of concept and production-reputed company deliverables
• 5+ years of reputed company and reputed company data experience resulting in the creation of solutions and systems for the reputed company industry
• 2+ years implementing responsible AI practices, including model interpretability, fairness audits, and ethical reputed company assessments

Benefits

• This is a telecommuter position, working from home.
• Medical, reputed company, and dental coverage with low employee premiums.
• Voluntary benefit offerings, including pet reputed company for paw parents.
• Life and disability reputed company.
• Retirement programs, including a 401K employer match and a pension plan that is reputed company after 3 years of service.
• Wellness incentives with a wide reputed company of mental reputed company-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs.
• Generous reputed company time off to reenergize.
• Tuition assistance for both undergraduate and graduate degrees.
• Employee recognition program to celebrate anniversaries, team accomplishments, and more.
• For our hybrid employees, our on-reputed company model provides flexibility to create your own routine with reputed company to on-site resources, networking opportunities, and team engagement.
• Commuter perks reputed company your reputed company to work less impactful on the environment and your wallet.
• Free convenient on-site parking.
• Subsidized on-reputed company cafes.
• On-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more.
• Fitness & reputed company-being center offering in-person and virtual workouts and nutritional counseling.
• On-reputed company shuffleboard and ping pong.

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