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Data Scientist

3.00 to 7.00 Years   Mumbai City   13 Aug, 2020
Bprise
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryAdvertising / MR / PR / Events
Functional AreaGeneral / Other Software,Statistics / Analytics
EmploymentTypeFull-time

Job Description

&

The Data Scientist will have a deep understanding of statistical and predictive modelling concepts, machine learning approaches, clustering and classification techniques and recommendations & optimization algorithms. The Data Scientist will be passionate about asking and answering questions in large datasets and equally passionate about communicating that passion to product managers and software engineers. S/he will have a keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. S/he can propose analytical strategies and solutions that challenge and expand the thinking of everyone around them.

The Data Scientist will be an outstanding communicator, creative thinker, data nerd and possess strong analytical skills.

  • Develop and plan required analytic projects in response to business needs.
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • expertise in quantitative analysis , data mining , and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
  • Design and evaluate experiments
  • Data mining using state - of - the - art methods
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Extending company s data with third party sources of information when needed
  • Doing ad - hoc analysis and presenting results in a clear manner
  • Building and fine tuning analytical answers
  • Visualise the data with charts and graphs
  • Assist in building and analysing dashboards and reports
  • Contribute to data mining architectures, modelling standards, reporting, and data analysis methodologies
  • Work with application developers to extract data relevant for analysis
  • Propose what to build in the next roadmap
  • Understand ecosystems, user behaviours, and long - term trends
  • Identify new levers to help move key metrics
  • An attitude that ensures safe and secure operations. A security & privacy first approach to dealing with everything.
  • Ability to lead initiatives and people toward common goals.
  • Should possess good analytical and interpersonal communication skills. Able to write and communicate effectively.
  • Motivated to work in start - up environment.

Requirements:

  • 3+ years of overall experience in Data Science
  • Excellent understanding of machine learning techniques and algorithms, such as k - NN, Naive Bayes, SVM, Decision Forests, Neural Networks etc.
  • Experience with common data science toolkits, such as Python, NumPy, Pandas etc.
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Automating analysis and authoring pipelines via SQL, NoSQL and python based ETL frameworks
  • 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.
  • Knowledge of Java and Big Data technologies such as Spark / Storm / Flink will be a plus.
,

Keyskills :
machine learningpythondata analysissqlanalyticspossess strong analyticalbig datadata miningkey metricsdata sciencedata collectionneural networksposition managementquantitative analysisproject administrationoptimization strategiesinterperso

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