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Director Spotify Data Science Jobs in Alabama (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Director

Birmingham, AL · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

Kemper

Data Scientist

Birmingham, AL · Hybrid

Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics environment preferred. * Self-directed and able to ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

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All JobsSpotify Data Science JobsDirector Spotify Data Science JobsDirector Spotify Data Science Jobs in Alabama

Director Spotify Data Science information

What does a Director of Data Science do at Spotify?

A Director of Data Science at Spotify leads teams of data scientists and analysts to drive business strategy through data-driven insights. They oversee the development of analytical models and tools that power features like music recommendations and user personalization. This role involves collaborating with product, engineering, and business leaders to inform key decisions using data. Additionally, Directors help set the vision for data science at Spotify, ensuring the team stays innovative and impactful in a fast-changing industry.

What is the difference between Director Spotify Data Science vs Data Scientist Spotify?

AspectDirector Spotify Data ScienceData Scientist Spotify
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related field; extensive experienceBachelor's or Master's in Data Science, Computer Science, or related field; some experience
Work EnvironmentLeadership role overseeing teams, strategic planning, cross-department collaborationHands-on data analysis, model development, reporting, and insights generation
Employer & Industry UsageCommon in tech and media companies like Spotify, focusing on data-driven decision makingEntry to mid-level role in similar environments, supporting data science initiatives

The main difference is that the Director Spotify Data Science leads teams and sets strategic goals, while the Data Scientist Spotify focuses on executing data analysis and modeling tasks. The director role requires more experience and leadership skills, whereas the data scientist role is more technical and execution-focused.

What are some of the primary challenges a Director of Data Science at Spotify might face when leading cross-functional teams?

A Director of Data Science at Spotify often navigates the complexities of aligning diverse technical and business stakeholders toward shared objectives. Key challenges include translating business goals into actionable data strategies, ensuring data integrity at scale, and fostering collaboration between data scientists, engineers, and product managers. Managing and mentoring a large, multidisciplinary team requires balancing hands-on technical leadership with strategic vision. Additionally, adapting to rapidly changing music industry trends and user behaviors makes it essential to prioritize projects that deliver the most value.

What are the key skills and qualifications needed to thrive as a Director of Data Science at Spotify, and why are they important?

To thrive as a Director of Data Science at Spotify, you need deep expertise in data analytics, machine learning, and statistics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Mastery of tools such as Python, SQL, cloud platforms, and data visualization systems is essential, along with familiarity with big data ecosystems. Exceptional communication, strategic vision, and team leadership skills help drive cross-functional collaboration and innovation. These skills are crucial for developing impactful data-driven products, guiding high-performing teams, and aligning analytics initiatives with Spotify's business goals.
What are the most commonly searched types of Spotify Data Science jobs in Alabama? The most popular types of Spotify Data Science jobs in Alabama are:
What cities in Alabama are hiring for Director Spotify Data Science jobs? Cities in Alabama with the most Director Spotify Data Science job openings:
Director Spotify Data Science jobs near you

AI & GenAI Data Scientist-Director

Pwc

Birmingham, AL • On-site

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Director

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
Responsibilities
- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
- Overseeing the implementation of data infrastructure and integration to support scalable AI systems
- Driving business growth by identifying market opportunities and converting them into successful client engagements
- Mentoring and guiding teams in the application of advanced data analytics and AI techniques
- Promoting technological advancements and fostering an environment where people and technology thrive together
- Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
- Utilizing programming languages such as Python and C++ to develop and deploy AI models
- Managing complex data analysis and confirming data quality and integrity within analytics frameworks
- Encouraging creativity and innovation in problem-solving and solution development
- Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
What You Must Have
- At least a Bachelor's degree
- At least 12 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Leading AI-driven automation projects with strategic mindset and innovation
- Promoting technological advances in data infrastructure and integration
- Cultivating potential in others through coaching and feedback

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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