At TuneIn, we are reinventing listening for a connected world, with live sports, up-to-the-minute news, curated music, millions of podcasts, and over 120,000 streaming radio stations—streamed to tens of millions of customers through our mobile and web apps, and our unmatched platform of hundreds of consumer device and service integrations. From smartphone to smart speaker to electric car, TuneIn delivers live and on-demand audio from voices you trust wherever you want to listen.  

As a Director of Applied Data Science, Machine Learning and AI (ML & AI), you will grow and guide a team of talented Machine Learning (ML) and Artificial Intelligence (AI) data scientists to develop innovative machine learning algorithms, scalable ML systems, and AI applications for TuneIn.  This role’s focus is collaborating and partnering with data platform and ML engineering to develop and deploy personalization and recommendation systems, optimize search and content discovery, enable rapid product experimentation, and build data-driven solutions to improve user experience and growth.  This is an essential position where your work will have a significant impact on business decisions and also directly impact the customer experience via ML-driven services.

Who You Are

• Relentlessly focused on data- and hypothesis-driven decision making to create the best experiences for TuneIn’s users
• Someone with a bias for action and quick iteration as opposed to perfection
• Able to maintain strong stakeholder relationships across time zones through strong interpersonal skills and collaboration
• Comfortable with ambiguity
• An effective communicator and collaborator who can synthesize insights from multiple stakeholders across product, engineering, and design, as well as seamlessly build part of a larger product whose success relies on all internal components functioning well together
• A teacher and coach who thrives on mentoring early-career data scientists and analysts
• Results-oriented and ready to define metrics to measure value

What You’ll Do

• Using an iterative, hypothesis-driven approach, develop innovative data science solutions leveraging machine learning algorithms, statistical and quantitative modeling to support product, engineering, content, and revenue growth initiatives
• Build and lead a world-class team of ML and AI scientists and engineers
• Embody a growth mindset as you mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes
• Work with ML and data engineers to design solution architecture and develop scalable machine learning systems to accelerate the learning cycle
• Identify data science opportunities that deliver business value
• With Product and Engineering counterparts, develop the ML/AI roadmap, and evangelize with stakeholders at all levels to drive implementation and measurement
• Utilize deep domain knowledge and experience to enable ML/AI applications
• Manage projects priorities and ensure timely delivery
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products
• Prepare and present ML modeling results and analytical insights to senior executives
• Build dashboards and visualizations that enable stakeholders to self-serve metrics and trends effectively. Assist and educate on interpretation

What We Are Looking For

• Masters or Ph.D. in Statistics, Mathematics, Applied Math, Economics, Computer Science or related field
• Demonstrated experience owning large data science projects in search, recommendations, or other types of personalization for products with consumer-internet scale data
• 8+ years of work experience in software engineering, Data Science or ML/AI applications, with an emphasis in the design, development and deployment of high volume data centric applications (millions of transactions per day)
• 3+ years of experience managing and mentoring a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modeling expertise, such as causal inference modeling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Excellent data prep and big data manipulation skills (SQL, Spark, Python, Shell scripting, etc)
• High proficiency in machine learning and statistical coding languages (Pandas, MLFlow, SKLearn, R, TensorFlow, Keras, PyTorch, etc)
• Experience in deploying machine learning models and advanced modeling solutions
• Experience with data visualization tools (especially Tableau)
• A deep understanding of analytic bias, A/B testing, and experimental design
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audiences
• Works effectively across functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred

Our Compensation and Benefits

• TuneIn offers attractive compensation packages (salary, bonus and equity)
• We offer generous benefits, including 100% coverage of all health plans for employees and dependents regardless of which medical health plan you choose
• Dental and Vision plan coverage
• Flexible paid time off policy, plus 14 paid holidays (2021)
• 401k Plan
• Wellness stipend/Cell phone subsidy/Trainings, educational spending, pet insurance, and more

TuneIn, the leading live streaming and on-demand audio service, brings together live sports, news, music, podcasts and radio from around the globe. With 75 million monthly active users, TuneIn is one of the most widely used streaming audio platforms in the world. TuneIn broadcasts over 100,000 owned & operated and partner radio stations, and boasts more than 5.7 million podcasts. With premiere distribution across 200 platforms and connected devices, TuneIn empowers listeners to ‘hear’ what they love wherever ‘here’ might be. TuneIn Premium subscribers also unlock exclusive access to commercial-free news from top networks like CNBC, CNN, FOX News Radio and MSNBC, as well as commercial-free music channels for every mood and activity. For more information please visit us at www.tunein.com or follow us on Facebook, Instagram, or Twitter.

We’re committed to growing and empowering a more inclusive community within TuneIn. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.