Join Our Team at HARMAN

Are you ready for an exciting career at HARMAN, a leader in technology innovation? Our team is committed to making life better through cutting-edge solutions and collaboration. At HARMAN, we value innovation, inclusivity, and teamwork. Join us and experience professional growth, make a difference, and take pride in your work every day.

About the Role

We are seeking a Data Scientist for our AI & ML Center of Excellence. This critical role will be responsible for planning, executing, and delivering machine learning-based projects. You will handle machine learning (ML) modeling, problem analysis, data exploration, data collection, and integration. Your work will help drive innovation and solve complex challenges.

Your Team

The Data Scientist role is an individual contributor position that reports directly to the Senior Manager or Director of AI & ML. Collaborate with a team dedicated to making impactful business decisions using data-driven insights.

What You Will Do

As a Data Scientist at HARMAN, you will:

• Deliver new solutions or improvements across a range of business scenarios, including automation, customer engagement, supply chain optimization, predictive maintenance, and more.
• Utilize a strong foundation in programming languages such as Python, R, or Java for coding, debugging, and testing.
• Apply an in-depth understanding of linear algebra, calculus, probability theory, and statistics to machine learning algorithms.
• Perform data cleaning, transformation, feature engineering, and normalization to prepare data for ML algorithms.
• Work with various ML algorithms like supervised learning, unsupervised learning, reinforcement learning, and deep learning.
• Visualize data using tools like Matplotlib, Seaborn, and Tableau to identify patterns and trends.
• Communicate complex technical concepts effectively to non-technical stakeholders.
• Utilize strong problem-solving skills to address issues that arise during development.
• Stay up-to-date with the ever-evolving field of machine learning by learning new concepts, algorithms, and technologies.
• Possess domain knowledge relevant to where the ML model will be applied.

What You Need

To be successful in this role, you'll need:

• Experience working in diverse environments including cloud, on-premises, and hybrid, multiple operating systems, and containerization techniques like Docker, Kubernetes, AWS Elastic Container Service.
• Proficiency in several programming languages such as R, Python/Jupyter, SAS, Java, Scala, C++, Excel, MATLAB.
• Familiarity with database programming languages including SQL, PL/SQL for relational databases, and NoSQL/Hadoop-oriented databases like MongoDB, Cassandra.
• Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, Kafka, and MySQL.
• Expertise in solving vision, text analytics, credit scoring, failure prediction, and propensity to buy problems.
• Knowledge of statistical and data mining techniques, including generalized linear models, random forests, boosting, text mining, hierarchical clustering, deep learning, CNN, RNN, t-SNE, graph analysis.

What Makes You Eligible

• Availability to travel domestically up to 10%.
• Willingness to work in an office setting.

What We Offer

At HARMAN, we provide a flexible work environment, allowing for full-time remote work globally for roles that don't require presence in a HARMAN or customer location. Our benefits include:

• Employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG).
• Extensive training opportunities through HARMAN University.
• Competitive wellness benefits.
• Tuition reimbursement.
• Access to HARMAN Campus Fitness Center and Cafeteria.
• An inclusive and diverse work environment that fosters professional and personal development.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual