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Data Scientist

2.00 to 4.00 Years   Pune   28 Jul, 2020
Amdocs Development Center India Pvt Ltd
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Referral Bonus Reward Amount* : 25,000.00* In case this job is open for Amdocs employees only Refer Friend to Job option is disabledWho are we Because we work with some of the largest and most innovative companies on the planet, our work makes an impact. Over the past four decades, we have continually reinvented ourselves, and as we keep moving into exciting new areas such as media, gaming, IoT, 5G, cloud services and more, there are always opportunities for us to grow and develop. We will nurture your entrepreneurial instincts with open doors and promote your ability to seize the day. Our company is built of amazing people, a supportive atmosphere and a culture built on mutual support, respect and a feel good factor that can only happen in a workplace built by the kind of people that Amdocs employs.Make your career journey with us.In one sentenceThis is a hands-on position for a motivated and talented innovator. The Data Scientist performs data mining and develops algorithms that provide insight from data.What will your job look like

  • You will oversee and perform end-top-end data based research.
  • You will design data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, leveraging knowledge and a broad understanding of E2E business processes and requirements.
  • You will define the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership.
  • You will identify and analyze new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI.
  • You will identify data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality.
  • You will construct data models (algorithms and formulas) for required business needs and predictions.
  • You will work closely with content experts and managers to pinpoint queries, map data, and validate results.
  • You will present results, including the preparation of patents and white papers and facilitating presentations during conferences.
All you need is.Job Duties and Responsibilities:
  • 2-4 Years of experience in Data Science/Machine Learning role
  • Deep understanding and experience in the field of Machine Learning, Deep Learning and statistical learning
  • Experience using statistical computer languages & frameworks (R, Python, PyTorch, Tensorflow, Keras, Scikit etc.)
  • Experienced on supervised, unsupervised and reinforcement machine learning problems.
  • Experience creating and using advanced machine learning algorithms: regression, clustering, decision trees, gradient boosting, SVM, anomaly detection, factor analysis, neural networks, etc.
  • Understand the model lifecycle of cleansing/standardizing raw data, feature creation/selection, writing complex transformation logic to generate independent and dependent variables, model selection, tuning, A/B testing and generating production ready code.
  • Hands on Experience with data mining & natural language processing
  • Should be comfortable in going through open source code and reading research papers.
  • Ability to work independently and drive your own projects
Why you will love this job:
  • You will be working with dynamic IT Professionals at the back-end in creating content & data with analysis and trends for the business.
  • You will have respectfully interacts with others throughout the organization
  • You will across all boundaries with cross regional teams were ever you presence is needed to support the business.
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Keyskills :
pythondata analysissqlanalyticsdata miningopen sourcedata modelswhite papersdeep learningdata analyticsdecision treesdata collectionneural networksab testing

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