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Data Science

Data Science

bprise pvt ltdINDIA
30+ days ago
Job description
  • 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.
  • Apply 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 a 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.
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    Data Science • INDIA

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