Job Location: Bengaluru
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 every day.
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Data scientist roles and responsibilities include:
- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner
- Propose solutions and strategies to tackle business challenges
- Collaborate with Business and IT teams
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Key skills required:
- 1 to 5 years of professional experience as a data scientist or related roles
- Programming Skills – knowledge of statistical programming languages like Python and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala or Java, is an added advantage.
- Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
- Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests etc.
- Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
- Data Wrangling – proficiency in handling imperfections in data is an important aspect of the work.
- Experience with data visualization libraries matplotlib, seaborn etc.
- Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
- Strong Software Engineering Background
- Hands-on experience with data science tools
- Good understanding of the complexity of developing and productizing real-world AI/ML applications
- Deep knowledge of some of the popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost
- Ability to translate business requirements into conceptual and detailed system architecture and technology solutions
- Degree in Computer Science, Engineering or relevant field is preferred
- Proven Experience as Data Scientist
- Experience with Natural Language Processing and Deep Learning algorithms.
- Experience with Unstructured data.
- Experience working in AWS platform
- Experience with extracting data from large databases (SQL, Hue, Postgres, Hive )
- Experience working on software projects in the healthcare domain
- Experience in using anonymized patient level longitudinal data to characterize treatments using fields such as diagnosis codes, procedure codes and demographic attributes.
- Knowledge of the data landscape in healthcare (Anonymized Patient Longitudinal Data (APLD, LAAD) EHR, claims data, real world data, HEOR data)
- 1 to 5 years of experience with Machine Learning and Deep Learning modeling
HARMAN is an Equal Opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. (www.harman.com)
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