Data scientist Jobs in Bangalore - Skillslash
Job Description
Job description: Data scientist
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
Data scientist Key skills:
- Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig are desirable. Familiarity with Scala, Java, or C++ 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.
- Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
- Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
Experience - 2+ years
Pay Scale: Rs.30000-35000
No.of Posts: 5
Job Particulars
Role it software engineer
Who can apply Experienced (2 to 2.5 Years)
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id1459604
Job Category IT/Software , BSc/BCA/BBM
Locality Address HSR
State Karnataka
Country India
About Company
Skillslash:
Skillslash is an online Ed-tech platform which trains its learners on Data Science. We are passionate about making education affordable by keeping our courses reasonably priced and transparent so that learners get a chance to access courses at a minimal entry fee before they actually decide to go for the full program.
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