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Intern Data Science Music Jobs in Edison, NJ (NOW HIRING)

Otsuka

Associate Director, AI and Data Scientist

Princeton, NJ · On-site

$61K - $62K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role will focus on developing data science, AI solutions, use-cases, and applications as well as efficiently conducting research on feasibility of such solutions. While keenly focusing on ...

Graphite

Data Scientist

New York, NY · On-site

$160/hr

  • Medical

  • Dental

  • Vision

  • PTO

Our culture centers on putting people first, applying science and craft, practicing disciplined ... Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can ...

IBM

Data Engineer Intern 2027

New York, NY · On-site

Receive mentorship from diverse professionals in science, engineering, and consulting, applying ... Data Integrations: Develop skills in writing efficient and reusable programs to cleanse, integrate ...

New

IBM

Data Engineer Intern 2027

New York, NY

Receive mentorship from diverse professionals in science, engineering, and consulting, applying ... Data Integrations: Develop skills in writing efficient and reusable programs to cleanse, integrate ...

New

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the ... The ideal candidate will have strong machine learning, data science and software engineering skills ...

Forever Cheese

Food Science Intern

Secaucus, NJ · On-site

$15.25 - $20.25/hr

Food Science Intern Forever Cheese is hiring! We're looking for a detail-oriented, curious, and ... Perform accurate data entry into compliance platforms such as 1WorldSync, TraceGains, and other ...

New

Forever Cheese

Food Science Intern

Secaucus, NJ · On-site

$25/hr

Food Science Intern Employment Type: Temp-to-Perm - Part-Time, On-Site, Flexible Hours ... Perform accurate data entry into compliance platforms such as 1WorldSync, TraceGains, and other ...

New

Forever Cheese

Food Science Intern

Secaucus, NJ · On-site

$25/hr

Food Science Intern Employment Type: Temp-to-Perm - Part-Time, On-Site, Flexible Hours ... Perform accurate data entry into compliance platforms such as 1WorldSync, TraceGains, and other ...

New

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All JobsIntern Data Science Music JobsIntern Data Science Music Jobs in Edison, NJ

Intern Data Science Music information

See Edison, NJ salary details

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How much do intern data science music jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for intern data science music in Edison, NJ is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

What types of projects can an intern data science music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

What are the key skills and qualifications needed to thrive as an intern in data science for music, and why are they important?

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What does an intern data science music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.

What are popular job titles related to Intern Data Science Music jobs in Edison, NJ?

For Intern Data Science Music jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Intern Data Science Music jobs in Edison, NJ look for?

The top searched job categories for Intern Data Science Music jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Intern Data Science Music jobs?

Cities near Edison, NJ with the most Intern Data Science Music job openings:

Intern Data Science Music jobs near you

Associate Director, AI and Data Scientist

Otsuka

Princeton, NJ • On-site

$61K - $62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Job Summary

The Associate Director, AI and Data Scientist is a hands-on experienced technical leader who specializes in applying AI and data science in the context of Pharma R&D operational processes towards AI transformation. This may involve leading or contributing to AI projects that leverage diverse data and information to augment and accelerate current workflows. The role will focus on developing data science, AI solutions, use-cases, and applications as well as efficiently conducting research on feasibility of such solutions. While keenly focusing on business utility, and how AI transforms processes, the role will go deep into providing architectural and design guidance on the use of AI and data science, new processes and workflows to cross-functional teams and at times leading the implementing state-of-the-art AI solutions for business processes within R&D and across Corporate Functions.

The AI and Data Scientist will develop leading-edge technical solutions such as multi-agent orchestration, pragmatic uses of generative AI, and robust reusable AI and data science solution capabilities as part of cross-functional teams including life sciences subject matter experts and technical development teams, including AI engineers and AI platform engineers. In a world with rapidly evolving AI, AI technology, the AI scientist will also keep current with evolving technologies, gaining experience in new technology to guide better implementation of projects in responsibility, but also providing guidance to cross-functional teams, where needed.

The AI and Data Scientist will work with other Data Science, AI Scientists, AI engineers, and others within the larger Data Science and AI team in designing, developing, and implementing robust solutions for Otsuka. The role will partner with cross-functional teams such as IT (e.g., AI platform engineers to utilize recommended foundational capabilities, and architectural frameworks) and other stakeholders to ensure that efficient and effective solutions are developed and ultimately lead to AI transformation.

Job Description

  • AI product strategy:Develop a product vision and roadmap specifically for AI-driven solutions, aligning AI capabilities with business objectives, technology, and market trends. Implement Data Science and AI portfolio objectives and contribute to the development of data and analyses strategies esp. in augmenting and accelerating R&D Operations while leveraging AI
  • AI and ML Models:Experiment with, develop and train or fine-tune high quality effective AI models for business problems and processes, validate and evaluate them for fielding as part of broader solutions. Demonstrate strong foundational understanding of AI/ML, statistics, and data science concepts.
  • Generative AI:Expertise in generative AI, including concepts like prompt engineering, embeddings, and fine-tuning, is often required for building and upgrading modern AI solutions. Core understanding of evaluation of LLMs quantitatively and qualitatively. Hands-on experience demonstrated in developing and fielding enterprise fieldable AI systems. Investigate and conduct Proof of Concept (PoC) initiatives and develop solutions for new AI applications using advanced technologies like Large Language Models (LLMs) and Generative AI (Gen-AI) to enhance data analytics capabilities to advance and effectively accelerate candidates across drug development phases.
  • Data-driven decision making:Use data analysis and key performance indicators (KPIs) to monitor product performance and make informed decisions, considering the unique evaluation metrics for AI models in delivering business value, esp. in Pharma R&D operations and Enterprise use cases.
  • Understanding of Pharma R&D Data: Possess a deep and expansive understanding of data in the field of drug development, clinical trials, external healthcare data to be able to be effectively build AI solutions that conform to responsible AI, privacy by design, as well as regulatory compliance.
  • User centric solution design and development:Deliver effective AI enabled products that build trust, drive adoption, and lead to transformation. Ensure a design centric approaches through a deep understanding of user needs, fears, processes, regulations, and responsible AI.
  • Guide AI ecosystem capabilities: Provide technical input on AI ecosystem, AI platform, AI frameworks and architecture including AI solution evolution, and new capability development. Guide developers and other technical team members as well as direct vendors to provide oversight on AI concepts and their implementation. Remain current with industry trends and advancements in AI/ML, R&D processes and data, providing insights to help team leadership in influencing the organization's technical roadmap and strategy. Identify and apply innovative analytical solutions with a strong focus on adopting novel AI tools, methodologies, and technologies, including Gen AI, AI, machine learning applied to internal and external data
  • Agentic AI frameworks and architecture: Design, implement and deploy of agentic AI systems utilizing perception, planning, reasoning, orchestration, execution, and reflection loops. Demonstrate deep previous experience in architecting and deploying AI agent based solutions.
  • Understanding MLOps and LLMOps:Possess strong knowledge of processes and tools for deploying and maintaining machine learning models, LLM's, and agents in a production environment. Oversee the life cycle management and revisions of AI solutions
  • Enablement and change management:Lead efforts to support the adoption of new AI technologies within an organization.Develop processes to optimize data and analytics systems and their execution, ensuring responsible use of cutting-edge technological advancements.
  • Use case review: Lead or assist in review of AI / ML use cases to ensure a AI guidelines, frameworks, platform components, and responsible AI is enabled. Act as a subject matter expert for AI solution on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for data engineering needs. Demonstrate a proactive approach to identifying and resolving potential issues both during development and production support of data analytics and AI applications
  • Development and promote reuseable AI components: Ensure development of reusable data and AI solution components and promote their use across the data and AI ecosystem, business functions (e.g., clinical operations, asset management, quality, safety, regulatory, RWD, Enterprise functions, etc.) and promote innovative, scalable data and AI approaches to accelerate data science and AI solutions
  • Cross-functional team leadership:Collaborate with a mix of technical, semi-technical and business stakeholders to lead and align diverse teams, including data scientists, engineers, designers, marketing, legal, and executives.
  • Stakeholder management:Guide and manage stakeholders in communicating AI progress, outcomes, impact, limitations, and risks to stakeholders and managing expectations.
  • "Translator" communication:The skill to bridge communication between technical AI teams and non-technical business stakeholders.
  • Partnerships: Partner with other functional areas internally and external partners to conceptualize, develop or co-develop AI/ML capabilities while leveraging AI Engineering, Data Engineering, and AI platform architecture, AI platform engineers, and infrastructure, and other IT teams. Collaborate with internal data and AI scientist, IT, cloud architects to ensure that data infrastructure and technical solutions are aligned with enterprise architecture and compliance needs. Must leverage capabilities and roles that exist in the team and other areas
  • Risk management and compliance:Collaborate with legal, privacy, and ethics teams to address concerns around algorithmic bias, fairness, transparency, and data privacy.
  • Adaptability: Ensure effective operationswhile deeply understanding the greater ambiguity inherent in AI product development and adapting to continuous experimentation and iteration cycles.
  • Strategic thinking:Ability to think beyond features and focus on curating intelligence and context that drives product evolution.

Qualifications

  • Masters degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related discipline with focus on advanced and modern Data Science, including the use of AI and machine learning. PhD is preferred.
  • Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.
  • Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.
  • Experience in AI product development with focus on leveraging AI, Data Science, Machine Learning. Deep understanding of AI and Machine Learning and its applications in Pharma
  • Experience with data science and AI enabling technology, such as Dataiku Data Science Studio, Snowflake, AWS SageMaker or other data science platforms and ability to maintain awareness as new AI technologies emerge
  • Creative problem solving using responsible use of AI and other technologies.
  • Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences.
  • Familiarity with machine learning and AI technologies and their integration with data engineering pipelines
  • Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP). Awareness of testing and validation approaches related to GxP, non-GxP, etc.
  • Highly self-motivated to deliver both independently and with strong team collaboration, leverage roles that exist in the team and in the larger ecosystem
  • Experience in AI and ML based software/product engineering; familiarity with test and validation principles, GxP validation
  • Experience with data science enabling technology, such as Dataiku Data Science Studio, Snowflake, AWS SageMaker or other data science platforms
  • Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.
  • Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly in drug development and clinical trials is highly desirable.
  • Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.
  • Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.
  • Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.
  • Strong internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives.
  • Understanding of life sciences R&D business processes.
  • Experience working with relevant life sciences datasets such as claims, clinical trial data, regulatory data, quality data, and other life sciences operations datasets.
  • Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.
  • Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&D, is highly desirable.
  • Proven track record of implementing proof of concept as well as production grade AI/ML, Gen AI and large language model (LLM) applications in production environments.
  • An understanding of data's role in AI, including data collection, governance, and how to structure a problem for better AI outcomes.

Competencies
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
Impactful Communication -Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
Empowered Development - Play an active role in professional development as a business imperative.

Minimum $169,222.00 - Maximum $253,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate's job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.

Application Deadline: This will be posted for a minimum of 5 business days.

Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.

Come discover more about Otsuka and our benefit offerings;https://www.otsuka-us.com/careers-join-otsuka.

Disclaimer:

This job description is intended to describe the general nature and level of the work being performed by the people assigned t...

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