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Junior Data Scientist

3 - 5 yrs
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Not Disclosed by Recruiter Posted 6 days ago Job Applicants: 170 Job Views: 235

Job Description

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    Primary Responsibilities include:

    Familiar in applying multiple approaches for project execution

    Adapt existing assets to Operations use cases

    Explore third-party and open source solutions for speed to execution and for specific use cases

    Engage in fundamental research to develop novel solutions

    Work with the Lead in building scalable, performance intensive NoSQL databases

    Develop routines using python, spark, NoSQL for exposing data to the product stack.

    Develop data mining techniques using state-of-the-art methods.

    Processing, cleansing and verifying integrity of data that is collected from transactional systems for analysis.

    Research, evaluate, and develop analytical and decision-making methodologies

    Select/create algorithms and software needed to perform analyses

    Review industry publications and relevant research to develop client-specific solutions and keep current on trends and new offerings in the Data Science space.

    Aggregate, analyze data and information and create models to create relevant and actionable insights

    Synthesize data, information, and knowledge to form conclusions and recommendations

    Test and validate data, information, and models against reality

    Research and implement machine learning, data mining and other statistical modeling techniques

    Perform ad-hoc analysis and present results in a clear and concise manner.

Salary: Not Disclosed by Recruiter

Industry: IT-Software / Software Services

Functional Area: Analytics & Business Intelligence

Role Category:Analytics & BI

Role:Data Analyst

Employment Type: Permanent Job, Full Time


Desired Candidate Profile

    Desired skills:

    Experience identifying, gathering, and analyzing large datasets

    Experience with Cognitive Services from Microsoft, Google, IBM and/or Amazon

    Collaborate and create Machine Learning solutions in areas of optimization, simulations, Predictive analytics, and deep learning

    Experience with deep learning and cognitive service speech, language, test, and knowledge

    MUST have scientific programming experience (Python, etc.); hands-on with Numpy and the Python scientific stack is a must

    Demonstrated ability to track and work Big data environment

    Exposure to CNN & LSTM Networks

    Familiarity with one of the popular NLP libraries like Stanford Core NLP, Apache OpenNLP or NLTK

    Strong in programming language like Java or Python

    Candidate has to have strong hands-on knowledge on SQL & noSQL databases

    Strong Exposure to or Knowledge on NoSQL databases, and distributed computing systems

    Excellent interpersonal skills; Must be self-motivated, detail-oriented, and willing to learn.

    Hands-on in Python, Matplotlib, SciKitlearn, Numpy, Pandas, Elasticsearch

    Strong in Maths/ Statistics

    Understanding of domain specific applications

    Qualification & Experience:

    3-5 Years as a Strong Application Developer for Software Products or Large Applications using Relational/NoSQL Databases

    Key Tasks Include:

    Using command line tools to perform data conversion and analysis

    Supporting other team members in retrieving and archiving experimental results

    Quickly writing scripts to automate routine analysis tasks

    Creating insightful, simple graphics to represent complex trends

    Involve in writing linguistic rules to support information extraction and automatic categorization

    Perform strong NLP tasks like part of speech tagging, named entity extraction and text classification and recognition

    Evaluating performance of NLP systems against metrics like precision, recall etc.

    Hands-on experience with visualization tools like Tableau, QlikView, Qlik Sense and others

    Collaborate with other Language Engineers and Data Specialists in data analysis and feature design efforts

    Work with Engineering teams to deploy your solutions into a production environment

    About You

    Excellence in academics with computer science, computational linguistics or information science (or equivalent) background

    Interest and exposure in the area of natural language processing and information extraction

    Sound analytical & conceptual skills to understand business needs and apply NLP/analytics solutions to solve specific business problems

    Familiarity with regular expressions

    Interested in learning new things

    To be proactive, flexible and determined, able to work under pressure and to match deadlines.

    Aptitude to learn, think creatively to solve real world business problems, and work in a global collaborative team environment

    Good verbal and written English skills.

    Behavioural Competences

    Team player with a can do attitude

    Ability to work in an interdisciplinary and multi-cultural environment

    High degree of flexibility, independent and proactive working style

    Ability to work well under pressure and on multiple and conflicting priorities

    Strong commitment to quality and timely customer service


UG: B.Sc - Maths, Statistics

PG:Any Postgraduate - Any Specialization

Doctorate:Doctorate Not Required

Company Profile:

Invecas technologies Pvt Ltd

Invecas technologies Pvt Ltd
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