Director, Data Science

Description

Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM.

Take ownership over your work, embrace continuous learning, and above all, find joy in what you do!

Job Responsibilities :

Team Leadership and Development :

Lead, mentor, and develop a team of data scientists and machine learning engineers.

Foster a collaborative, inclusive, and innovative team culture.

Conduct regular performance reviews and provide constructive feedback.

Identify skill gaps and implement training programs to enhance team capabilities.

Project Management :

Oversee the end-to-end lifecycle of AI projects, from conception to deployment.

Ensure projects are completed on time, within scope, and within budget.

Coordinate with cross-functional teams to align AI initiatives with business objectives.

Manage project risks and develop mitigation strategies.

Technical Oversight :

Provide technical guidance on model training and validation using various machine learning techniques on structured / unstructured data, including imagery, text, and graphs.

Support and oversee the deployment of models in a cloud-based Linux environment.

Ensure the quality and performance of AI models presented to clients and prospects.

Stay updated with the latest advancements in AI and incorporate best practices into the team's workflow.

Client Interaction :

Present model performance and insights to clients and prospects.

Provide pre-sales and post-sales analytic support.

Build and maintain strong relationships with both internal and external stakeholders.

Strategic Planning :

Develop and refine the analytics development platform.

Identify opportunities for innovation and lead strategic initiatives to enhance the company's AI capabilities.

Align team goals with the broader organizational strategy and drive execution.

Technical Acumen :

Perform model training and validation using various types of machine learning techniques on structured / unstructured data, including imagery, text and graphs.

Support deployment of models.

Perform work in a cloud-based Linux environment.

Present model performance to clients and prospects.

Provide pre-sales and post-sales analytic support and interact with both internal and external clients and prospects.

Create model reports for client review and model documentation.

Prepare and maintain programs and documentation for analytic models.

Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.

Job Qualifications :

Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience.

5+ years of related modeling building experience.

Demonstrated experience leading and mentoring junior data scientists.

Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.

Experience using python and / or C / C++ with pytorch, jax, Scikit-learn, mlflow, huggingface.

Experience working in a cloud-based Linux environment.

Experience using distributed computing a plus, e.g. DDP, FSDP, deep speed.

Publications or open-source contributions a plus.

Strong problem solving and analytical ability.

Strong communication skills

Ability to quickly and efficiently adapt to new concepts.

Ability to thrive in a team environment.

Demonstrated knowledge of statistical techniques

Strong working knowledge of multiple analytic development tools, statistical tools, and programming languages

Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.

LI-Remote

Annual Pay Range :

159,200 - 200,000 USD

Application Window :

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2024-08-13

CoreLogic benefits information can be found here : . Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range.

CoreLogic's Diversity Commitment :

CoreLogic is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values.

We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package.

We are better together when we support and recognize our differences.

EOE AA M / F / Veteran / Disability :

CoreLogic is an Equal Opportunity / Affirmative Action employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law.

CoreLogic maintains a Drug-Free Workplace.