Data Scientist, AI & ML CoE

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

About the Role

The role will play a pivotal role in planning, executing and delivering machine learning-based projects. The role will involve machine learning (ML) modelling, management and problem analysis, data exploration and preparation, data collection and integration, operationalization.

Your Team

Data scientist will be an individual contributor role and the role will report to Senior Manager/ Director, AI & ML

What You Will Do

Data scientist will provides new solutions or drives improvements to business problems across a vast array of business, consumer and social scenarios such as: Automation, Customer engagement, Supply chain optimization, Predictive maintenance, Operational effectiveness, Workforce effectiveness, Fraud detection, Resource optimization etc.  Key expectations from this role include:

• A strong foundation in programming languages such as Python, R, or Java is essential. Should be comfortable with coding, debugging, and testing.
• A solid understanding of linear algebra, calculus, probability theory, and statistics is critical to understand the underlying concepts of machine learning algorithms.
• Experience in data cleaning, data transformation, feature engineering, and data normalization. These tasks are essential to prepare data for machine learning algorithms.
• Familiarity with ML algorithms such as supervised learning, unsupervised learning, reinforcement learning and deep learning.
• The ability to visualize data is crucial in identifying patterns and trends in data. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau is essential.
• Good communication skills are essential to communicate complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and be able to identify and address issues that arise during the development process.
• Machine learning is a constantly evolving field, and developers need to be willing to learn new concepts, algorithms, and technologies to stay up-to-date.
• Knowledge of the specific domain where the machine learning model will be applied is crucial.

What You Need

• Experience of working across environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others
• Coding knowledge and experience in several languages: for example, R, Python/Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.
• Experience with database programming languages including SQL, PL/SQL, for relational databases and upcoming nonrelational databases such as NoSQL/Hadoop-oriented databases such as MongoDB, Cassandra, and others.
• Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Kafka, also MySQL, and so on
• Expertise in solving vision, text analytics, credit scoring, failure prediction, propensity to buy problems is preferable.
• Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.

What Makes You Eligible

• Be willing to travel up to 10%, domestic only OR domestic and international travel
• Be willing to work in an office

What We Offer

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
• Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition Reimbursement
• Access to HARMAN Campus Fitness Center and Cafeteria
• An inclusive and diverse work environment that fosters and encourages 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 orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.