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Data Scientist

Yash Hemnani's profile picture
Posted by Yash Hemnani
0 - 4 yrs
₹5L - ₹15L / yr
Full time, Internship
Remote, Dubai
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Neural networks
Artificial Neural Network (ANN)
Predictive modelling
Deep Learning
recommendation algorithm
Main Responsibilities:

  • Work closely with your business to identify issues and use data to propose solutions for effective decision making
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
  • Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
  • Querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
  • Test data mining models to select the most appropriate ones for use on a project
  • Work in a POSIX/UNIX environment to run/deploy applications
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
  • Horizon scan to stay up to date with the latest technology, techniques and methods
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

General Expectations:

  • Able to create algorithms to extract information from large data sets
  • Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
  • Experience with extracting and aggregating data from large data sets using SQL or other tools
  • Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
  • Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
  • Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
  • Knowledge of Machine Learning techniques and their respective pros and cons
  • Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
  • Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
  • Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
  • Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
  • Hands-on experience on C#, Javascript, .Net
  • Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
  • Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
  • Strong knowledge of computer science, algorithms, and design patterns
  • Strong oral and written communication, and other soft skills critical to collaborating and engage with teams
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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About Archcorp Architectural Engineering

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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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