200+ applicants

Company

Original Job Post

Niche · 2 days ago

Head of Data Science & Machine Learning

United States

Full-time

Remote

Director

$188K/yr - $236K/yr

10+ years exp

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Comp. & Benefits

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Responsibilities

Establish data science and ML practices, capabilities, and team from the ground up.

Formulate and execute a comprehensive vision and roadmap for data science, including recommendation systems, personalized search, intelligent matching, generative AI, and predictive insights.

Develop relationships with key stakeholders and align on objectives and expectations.

Identify and implement quick wins to demonstrate the value and opportunities of data science and ML.

Develop and communicate a clear vision and strategy for data science and ML within the company.

Partner with stakeholders to develop a comprehensive roadmap for data science and ML capabilities.

Begin development work of the data science and ML roadmap and deliver quick wins.

Work with the head of data engineering to identify infrastructure and platform needs for data science and ML models.

Mentor and coach others within the data organization.

Complete development and deploy initial models into production to optimize customer experience and retention.

Assess and refine model performance based on data insights and stakeholder feedback.

Collaborate with product and engineering teams to integrate AI-driven features into products and services.

Start building the data science and ML team by recruiting and onboarding key talents.

Achieve significant progress in delivering the planned roadmap and demonstrate impact on business outcomes.

Identify and advocate potential opportunities for leveraging data science and AI with senior leadership and cross-functional teams.

Stay abreast of the latest developments in data science, ML, and AI and establish thought leadership through publication and presentation.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningData ModelingStatistical AnalysisPythonRSQLTensorFlowPyTorchScikit-LearnAWS SageMakerAzure MLSnowflakeDatabrickCloud Data ScienceStrategic ThinkingTrend AnalysisLeadershipCommunicationProblem-SolvingInnovationStakeholder Management

Required

Advanced degree (Ph.D. or Master's) in computer science, statistics, mathematics, or a related quantitative field

Minimum of 10 years of experience in data science, with at least 5 years in a leadership role

Extensive experience in data science, with a proven track record of leading successful data science projects ideally in the SaaS, B2C, or two-sided marketplace sector

Expert knowledge of machine learning algorithms, data modeling, and statistical analysis

Strong leadership skills with the ability to build, manage, and mentor a team of data scientists

Hands-on experience with programming languages commonly used in data science and ML, such as Python, R, and SQL, along with experience working with libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn

Experience working with cloud data science and ML platforms (e.g., AWS SageMaker, Azure ML, Snowflake, Databrick, etc.)

Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business insights and recommendations

Ability to think strategically and drive innovation with a strong focus on execution and a commitment to staying at the forefront of data science trends