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Head Of Data Science Jobs (NOW HIRING)

Some of the recent projects our Data Science team members have worked on include: * Building ... Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data ...

Head of Data

New York, NY · On-site

$220K - $300K/yr

The Role As Head of Data at Crosby, you'll play a critical role in defining and leading our data ... Who You Are * 8+ years of experience in data science, data engineering, or analytics, with ...

Some of the recent projects our Data Science team members have worked on include: * Building ... Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data ...

Head of Data

Needham, MA · On-site

$200K - $250K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Business, or ... of progressive experience in enterprise data leadership roles * Proven experience building or ...

As our Head of Data within this portfolio organization you'll be leading and developing best ... Establish data science, engineering and advanced analytics as an organizational capability * Design ...

... science, data engineering, or analytics roles • Experience designing data architectures and data models for complex operational systems • Strong experience working with data warehouses and ...

... science, data engineering, or analytics roles ● Experience designing data architectures and data models for complex operational systems ● Strong experience working with data warehouses and ...

Head Of Data Management Reporting to the Chief Technology Officer, the Head of Data Management is ... Experience in applying data science methods to business problems. Strong logical, analytical ...

New

Head of Data

Everett, WA · On-site

$170K - $210K/yr

About the opportunity As Head of Data, you will own and evolve the data and AI infrastructure that ... Additionally, you will manage team efforts which employs data scientific methods, machine learning ...

About the role As the Head of Data, you'll lead and grow our Product Analytics and Data Engineering ... data scientists * Strong technical proficiency with the Modern Data Stack , we use Snowflake, dbt ...

Head of Data

San Francisco, CA · On-site

$230K - $275K/yr

About the role As the Head of Data, you'll lead and grow our Product Analytics and Data Engineering ... data scientists * Strong technical proficiency with the Modern Data Stack , we use Snowflake, dbt ...

The Role We're looking for a Head of Data Analytics to own and evolve the entire data function at ... You'll manage a team of data scientists, own the roadmap for our data infrastructure, and serve as ...

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Head Of Data Science information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer, Director of Data Science, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 for those with extensive experience, advanced skills in machine learning, and leadership responsibilities. These roles typically require strong technical expertise, strategic thinking, and often a background in business or management.

Is 40 too late for data science?

The Head of Data Science role typically requires several years of experience in data analysis, machine learning, and leadership. While starting a new career in data science at 40 is possible, it may require additional training or certifications, and success depends on prior skills and adaptability.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of efforts or data. For a Head of Data Science, understanding this principle helps prioritize data features, models, or tasks that have the most significant impact on business outcomes.

What are some common challenges faced by Heads of Data Science in their day-to-day work?

A Head Of Data Science often encounters the challenge of balancing technical innovation with business objectives, ensuring that data projects align with overall company goals. They must navigate complex data environments, ensuring data quality and governance while managing teams with varied skill sets. Collaboration across departments, such as engineering, product, and business units, is essential to integrate analytics solutions effectively. Additionally, they are responsible for mentoring team members and communicating complex insights to non-technical stakeholders, which requires both technical depth and strong interpersonal skills.

What is a Head Of Data Science job?

The Head of Data Science is responsible for leading a company's data science strategy, managing data teams, and developing advanced analytics solutions to drive business value. They oversee data-driven decision-making, model development, and the deployment of AI/ML technologies. This role requires strong leadership, technical expertise, and the ability to collaborate with cross-functional teams to align data initiatives with business goals.

How much does a VP of data science make?

A Vice President of Data Science typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, industry, location, and experience, and the role requires strong leadership, advanced analytics skills, and experience managing data teams.

What are the key skills and qualifications needed to thrive in the Head Of Data Science position, and why are they important?

To thrive as a Head Of Data Science, you need advanced expertise in machine learning, statistical modeling, and data strategy, usually backed by a graduate degree in a quantitative field and extensive industry experience. Familiarity with programming languages like Python or R, cloud platforms, and tools such as SQL, Spark, or TensorFlow, as well as experience with data governance frameworks, is highly valued. Strong leadership, strategic vision, and communication skills help drive cross-functional collaboration and inspire diverse teams. These skills are crucial for delivering business value, guiding data-driven decisions, and scaling impactful analytics initiatives across the organization.

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What cities are hiring for Head Of Data Science jobs? Cities with the most Head Of Data Science job openings:
What are the most commonly searched types of Of Data Science jobs? The most popular types of Of Data Science jobs are:
What states have the most Head Of Data Science jobs? States with the most job openings for Head Of Data Science jobs include:
Head of Data

Head of Data

Philo

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Philo: a streaming service for TV and movie lovers
At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback.
Data at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company.
On the Data team, we're looking for people who are comfortable working on a variety of interesting engagement, content discoverability, experimentation, acquisition, and retention-related data projects across our streaming service. You'll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service - this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack, as well as insights and modeling work that leverages the platform to deliver business value. In addition, you'll work with stakeholders in other departments to understand our business needs, build highly reliable and accurate data pipelines that the company can trust, and deliver business-focused data insights to help the entire team thrive.
We are passionate about problem-solving and providing data-informed insights for the entire company, using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, Redshift, Snowflake, SageMaker, AWS Glue, Mode, Omni, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
  • Building marketing mix models and multi-touch attribution models to optimize customer lifetime value and predict RoAS (Return on Ad Spend)
  • Modeling to determine which early product behaviors predict conversion
  • Running experiments to evaluate and improve our ML-based content recommendation/personalization system
  • Building data models for analysis of lifecycle marketing communications impact
  • Modeling to analyze the impact of Quality of Experience events (e.g. rebuffering) on customer engagement and other business metrics.
  • Data infrastructure engineering work including data warehouse cluster upgrades, per-query infra cost optimization, implementation of Apache Iceberg data storage, and evaluating alternative data warehouse technologies.
  • Ongoing analytics engineering work to reliably and accurately model complex billing and subscription data, enabling it to be easily queried for business insights.
  • Price sensitivity research and competitive market analyses

The role
Philo is seeking a Head of Data to lead and evolve our growing team of Data Scientists, Data Engineers, and Data Analysts - an effective, collaborative and empathetic leader who will help scale the team to meet our evolving data needs. This leader will work with stakeholders across the company to ensure that every department at Philo has the reliable and accurate data required to deliver the data-driven insights we need in order to achieve and exceed our goals as a company.
Responsibilities
  • Own all things data at Philo: ensure that stakeholders at Philo have access to the timely and accurate data driven insights that they need to do their jobs.
  • Oversee the core data science work executed in cross-functional teams to drive product goals, including product experiments and A/B tests, Growth & Acquisition modeling, and product insights, including customer journey analysis and measuring effectiveness of content search and recommendation systems.
  • Own the quality and performance of the data platform at Philo, including platform architecture and instrumentation, data collection/processing/validation, data governance, and security and compliance.
  • Ensure that we are collecting the right data and events, processing them in a scalable and modular way, and building a foundation of reliable data that teams across the company can build insights from.
  • Collaborate closely with the engineering team and AI/ML engineers to support the development and delivery of Philo's content recommendation system.
  • Collaborate closely with data roles in our business and finance teams (business insights, business analysts and financial analysts) to help them build a deep understanding of the Philo business, customers, and content trends.
  • Manage the data team: train, mentor and coach members of the data team, direct their work and support their career growth; identify the roles we need as we grow and hire fantastic people to fill those roles.

Qualifications
  • 15+ years of experience across analytics, data science, data engineering, or related data functions, with significant proven experience leading multidisciplinary data teams through ambiguity, in both a strategy and personnel management capacity. (Startup experience preferred.)
  • Strong skills as a hands-on data scientist who can lead by example, including demonstrated understanding of data architecture, statistical modeling in either Python or R (Python preferred), A/B/n experimentation practices, SQL, and experience independently developing data driven insights. Demonstrated ability to train and coach team members in these skills.
  • Strong written and verbal communication skills; you are a strong communicator who can explain complex trends, data findings and analytical methodology to broad audiences with varying technical backgrounds.
  • A deep understanding of business priorities and the ability to partner with both technical and non-technical stakeholders.
  • Experience working in a fast-paced, high-growth startup environment (or ability to adapt to this environment very quickly).
  • Experience in consumer subscription, streaming, media, ad-supported products, or other event-rich digital businesses is preferred.
  • Experience with Machine Learning and Deep Learning is a strong plus.

More about Philo
At Philo, we're a company that puts people first-both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.
We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we'll work with you to meet your needs.
Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+.
Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.
Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.
Join us at Philo and be part of a team that's shaping the future of TV!
Status: Full-time
Location: San Francisco, CA or remote within the U.S.
Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:
  • San Francisco, New York City: $325K - $375K
  • Boston, DC Metro, Los Angeles, Seattle: $305K - $355K
  • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $285K - $335K
  • Texas, Florida: $270K - $320K

We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
  • Full health, dental and vision coverage for you and your family
  • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
  • Flexible working hours
  • Up to 20 weeks of fully paid parental leave
  • Unlimited paid time off for vacation and sick leave
  • $2,000 annual vacation bonus (we pay you to take a two week vacation)
  • $5,250 annually for professional development and educational assistance
  • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
  • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
  • Free Gympass subscription - an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
  • Dog-friendly office
  • And much more!

For California Residents: Philo's CCPA Notice at Collection - Employees, Applicants, Owners, Directors, Officers and Contractors
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.