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DataScientist Vice President

2.00 to 5.00 Years   Hyderabad   14 Jul, 2019
JPMorgan
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other SoftwareIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products in our infrastructure team. Your primary focus will be to study data, apply data mining techniques, doing statistical analysis, and building high quality prediction systems.Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Pattern discovery using complex machine learning algorithms, presenting prediction outcome in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
INTERNAL QUALIFICATIONSThis role requires a wide variety of strengths and capabilities, including:
  • Graduation or post-graduation in Computer Science, Computer Engineering or similar technical field of study/equivalent experience
  • 12+ years of Software Engineering experience, using one or more object oriented programming languages
  • 4+ years experience as a data scientist with technical expertise in programming languages and common data science toolkits, such as Python, R, NumPy, MatLab, SQL etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Systematic, fact based decision making and problem solving
  • Experience with data visualization tools, such as D3.js, GGplot, etc
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Strong curiosity and bias for pro-active planning, action, ownership, learning and continuous improvement.
  • Strong inter-personal skills and ability to cultivate relationships with all internal/external stakeholders, promoting diversity of perspectives, ideas and cultures.
  • Ability to clearly articulate ideas, problem/solution/business value descriptions that can be understood by a broad audience in a time sensitive environment.
Additional pluses:
  • Full life cycle experience within an Agile framework
  • Mission critical systems experience in a globally distributed framework
  • Best practices in infrastructure and application logging, monitoring, intelligent alerting, and automated self-healing
  • Experience with DevOps model and tools
  • Experience with Site Reliability Engineering
  • Experience with Chaos Engineering
  • Technical leadership experience; driving initiatives through the entire project lifecycle, mentoring and guiding other team members, driving team/project success in a highly collaborative, collegiate environment
  • People management experience; building and developing a team, helping staff develop their skills and achieve career objectives, driving team to achieve organizational objectives, driving employee satisfaction
,

Keyskills :
data scientistdata mining data collectionbusiness development

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