Experienced Data Science Leader - Messaging and Inferred Identity: Unlocking Business Growth through Technical Expertise and Strategic Vision

Remote Full-time
Introduction to Workwarp and the Role
Workwarp, a pioneering force in the tech industry, is seeking an exceptional Data Science Manager to spearhead our Messaging and Inferred Identity team. As a leader in this domain, you will have the unique opportunity to drive business growth, shape our data science strategy, and make a lasting impact on our organization. With a strong foundation in machine learning and data science, you will guide a team of talented professionals to maximize business impact and push the boundaries of innovation.

About the Messaging and Inferred Identity Team
The Messaging and Inferred Identity team is a critical component of our Data Science and Engineering (DSE) division, responsible for driving our data science and analytics strategy for messaging to our existing member base and researching, building, and deploying our Inferred Identity algorithms. As a technical leader in this space, you will interact with diverse parts of the business, fostering collaboration and driving cross-functional initiatives to achieve our goals.

Key Responsibilities

Lead a team of mixed technical roles, including data scientists, research scientists and engineers, analytics engineers, and data engineers, to drive business impact and achieve our strategic objectives
Develop and execute the vision and roadmap for the Messaging Data Science and Virtual Identity Algorithm domains, balancing the needs of multiple business stakeholder teams and leading the team to maximize impact on the business
Drive the strategy, research, development, and launch of our Inferred Identity algorithms, a 0-1 space that will interact with multiple established business areas
Serve as a strategic thought partner in your domains, identifying opportunities and shaping the strategy to maximize impact on the business
Foster a culture of innovation through collaboration with other leaders in the broader team, driving a culture of experimentation, and encouraging calculated risk-taking
Embody Netflix values in daily work and interactions, promoting a culture of inclusivity, respect, and empathy


Essential Qualifications
To succeed in this role, you will need:

Demonstrated experience leading ML and Data Science teams, particularly in open-ended spaces or domains with complex stakeholder environments
Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders
A passion for driving and influencing product strategies in a fast-paced, cross-functional environment
Willingness to learn and rapidly absorb business context in a 0-1 space that needs to interact with stakeholders across the business
Ability to deal with ambiguity; a strong ownership mindset, and a desire to thrive on minimal oversight and process
A PhD in Statistics, Computer Science, Machine Learning, Mathematics, or related field is preferred


Preferred Qualifications
While not required, the following qualifications are highly desirable:

Experience working in a remote or distributed team environment
Familiarity with cloud-based technologies and data platforms
Strong programming skills in languages such as Python, R, or SQL
Experience with machine learning frameworks and tools, such as TensorFlow or PyTorch
Knowledge of data visualization tools and techniques, such as Tableau or Power BI


Skills and Competencies
To excel in this role, you will need to possess:

Strong technical skills in machine learning, data science, and programming
Excellent communication and interpersonal skills, with the ability to collaborate with diverse stakeholders
Strategic thinking and problem-solving skills, with the ability to drive business impact and growth
Leadership and management skills, with the ability to motivate and guide a team of talented professionals
Adaptability and flexibility, with the ability to thrive in a fast-paced and rapidly changing environment


Career Growth Opportunities and Learning Benefits
At Workwarp, we are committed to the growth and development of our employees. As a Data Science Manager, you will have access to:

Opportunities for professional development and growth, including training, mentorship, and education programs
A culture of innovation and experimentation, with the freedom to explore new ideas and approaches
Collaboration with a talented team of professionals, with opportunities for knowledge sharing and learning
Recognition and rewards for outstanding performance, including bonuses and stock options


Work Environment and Company Culture
At Workwarp, we pride ourselves on our unique and inclusive company culture. As a Data Science Manager, you will be part of a dynamic and diverse team, with:

A culture of respect, empathy, and inclusivity, with a commitment to diversity and equality
A flexible and remote work environment, with opportunities for work-life balance and flexibility
A collaborative and open work environment, with opportunities for knowledge sharing and learning
Access to comprehensive benefits, including health plans, mental health support, and retirement plans


Compensation, Perks, and Benefits
At Workwarp, we offer a competitive compensation package, including:

A salary range of $360,000 - $920,000, depending on experience and qualifications
A comprehensive benefits package, including health plans, mental health support, and retirement plans
Stock options and bonuses, with opportunities for recognition and rewards
Flexible paid time off, with opportunities for work-life balance and flexibility


Conclusion
If you are a motivated and experienced Data Science professional, with a passion for driving business growth and innovation, we encourage you to apply for this exciting opportunity. As a Data Science Manager at Workwarp, you will have the chance to make a lasting impact on our organization, drive business growth, and shape the future of our data science strategy. Don't hesitate – apply today and join our team of talented professionals!

Apply Now

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