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Jr Data Scientist


To extend the existing Analytics team we are seeking for a Junior data scientist focused on the following skill set

Job Overview

This is a critical and “hands-on” role as part of the Core Product Development Team. The successful candidate will bring energy and enthusiasm to an Engineering team that takes pride in delivering high-quality software. Implementing and making productive analytics solutions to solve business issues and scale their usage. Providing incident & problem management for the productive solutions. Building and Validating analytics scenarios by means of functional prototypes or pilot solutions. Support strategic advanced analytics delivery teams within the organization.

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

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

Interested ? Apply now!

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