Immediate Hiring: Data Science Manager - Messaging and Inferred
Quick Overview:Compensation: a competitive salaryStart Date: Immediate openings availablePosition: Data Science Manager - Messaging And Inferred Identity DSECompany: WorkwarpLocation: Remote  Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Messaging and Inferred Identity team, within Data Science and Engineering (DSE), has two primary domains of responsibility: (1) Driving our Data Science and Analytics strategy for messaging to our existing member base; and (2) Researching, building, and deploying our ÂInferred Identity algorithms to better understand how our members behave. The team functions in a horizontal capacity, interacting with many diverse parts of the business.
We are looking for an exceptional technical leader to manage a team with a variety of role profiles to guide and shape our strategy in these domains. Strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and the Inferred Identity space requires building out a 0-1 capability that could interact with many diverse systems. In success, the leader in this space has the potential to influence and improve the function of many areas across Netflix, from our recommendations, to Ads, Games, and the way we evaluate content.
In This Role, You Will
 Lead a team of mixed technical roles (data scientists, research scientists and engineers, analytics engineers, and data engineers)
 Drive the vision and shape the roadmaps of the Messaging Data Science and Virtual Identity Algorithm domains, balancing the needs of many business stakeholder teams while 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 more established business areas
 Be a strategic thought partner in your domains, identifying opportunities and shaping the strategy to maximize impact on the business
 Drive a culture of innovation through collaboration with other leaders in the broader team
 Enact Netflix values in daily work and interactions
You Have
 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
 PhD in Statistics, Computer Science, Machine Learning, Mathematics, or related field is preferred
 High-energy self-starter with a passion for business impact through data science and machine learning, tolerance for ambiguity in a fast-paced setting, and a positive attitude
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled. Apply Job! Don't Hesitate, Apply!Don't worry if you don't meet every single requirement. We value a great attitude and a willingness to learn above all. Submit your application today!
Apply Now
The Messaging and Inferred Identity team, within Data Science and Engineering (DSE), has two primary domains of responsibility: (1) Driving our Data Science and Analytics strategy for messaging to our existing member base; and (2) Researching, building, and deploying our ÂInferred Identity algorithms to better understand how our members behave. The team functions in a horizontal capacity, interacting with many diverse parts of the business.
We are looking for an exceptional technical leader to manage a team with a variety of role profiles to guide and shape our strategy in these domains. Strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and the Inferred Identity space requires building out a 0-1 capability that could interact with many diverse systems. In success, the leader in this space has the potential to influence and improve the function of many areas across Netflix, from our recommendations, to Ads, Games, and the way we evaluate content.
In This Role, You Will
 Lead a team of mixed technical roles (data scientists, research scientists and engineers, analytics engineers, and data engineers)
 Drive the vision and shape the roadmaps of the Messaging Data Science and Virtual Identity Algorithm domains, balancing the needs of many business stakeholder teams while 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 more established business areas
 Be a strategic thought partner in your domains, identifying opportunities and shaping the strategy to maximize impact on the business
 Drive a culture of innovation through collaboration with other leaders in the broader team
 Enact Netflix values in daily work and interactions
You Have
 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
 PhD in Statistics, Computer Science, Machine Learning, Mathematics, or related field is preferred
 High-energy self-starter with a passion for business impact through data science and machine learning, tolerance for ambiguity in a fast-paced setting, and a positive attitude
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled. Apply Job! Don't Hesitate, Apply!Don't worry if you don't meet every single requirement. We value a great attitude and a willingness to learn above all. Submit your application today!
Apply Now