Data Scientist Engineer

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.

Job Description

About the Role

Harman is seeking a talented and motivated Data Scientist Engineer.  HARMAN is the corporate research division
that focuses on advanced technology development for applications across all Harman product lines including
Automotive, Lifestyle (consumer), Professional and Services.

You will be responsible for translating complex analytical concepts into actionable results for our research.
As a Data Scientist you will work with a world-class multidisciplinary team
to deploy scalable predictive reasoning and data mining algorithms, as well as extract / transform Big Data.
Provide technical expertise and business consultative skills to address supervised and unsupervised learning
problems in an applied automotive analytics environments. You will be involved in the development and execution of
all data management functions and statistical analysis relating to client specific projects. You will also be
directly responsible for preparing, analyzing and generating effective project results in an efficient and errorless
manner using classical statistical techniques as well as advanced tools, delivered on time and on budget.

Primary Responsibilities:
•    Provide data/report support for complex data mining projects.
•    Conceptualize problems, apply appropriate theory, explore approaches, simulate, and implement with minimal supervision.
•    Define data needs, evaluate data quality, and extract/transform data for analytic projects and research.
•    Leverage R, Weka, NumPy, MatLab, etc.to dig into data to extract meaning from information.
•    Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
•    Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
•    Experience with data visualization tools, such as D3.js, GGplot, etc.
•    Proficiency in using query languages such as SQL, Hive, Pig
•    Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
•    Good applied statistics skills, such as distributions, statistical testing, regression, etc.
•    Good scripting and Python programming skills

Qualifications

Education/Experience
•    Bachelor or Master Degree in Computer Science, SW Engineering, Mathematics, or Statistics
•    Experience working with large volumes of data, preferably in auto, or healthcare
•    Must have 3+ years’ experience in Predictive Modeling & Data Mining; Competitive/Customer Intelligence; Statistical Model Development; Analytics (Predictive Analytics); Big Data; and High Performance Computing
•    Minimum 3 years of experience in IT industry with a focus on Statistics or Analytics
•    Strong Python, and R skills.
•    Must be able to identify data relationships, trends, and anomalies.

Communication
•    Strong written and verbal communication skills.
•    Ability to interpret and articulate analytical results

Related Knowledge Base:
•    Ability to show value of analytics within business processes
•    Regression (linear, logistic, multinomial, censored)
•    Test Design/Design of Experiments
•    Segmentation and clustering
•    Decision tree analysis
•    Mathematical programming and optimization
•    Optimization

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.