Senior Quantitative Analyst

3 weeks ago

Pune, Maharashtra, India Sahaj Software Full time
About Sahaj Software

We are a software company that fosters a culture of trust, respect and transparency. Our team consists of some of the finest minds in the industry.

Sahaj offers unlimited leaves, life insurance & private health insurance, stock options, no hierarchy and open salaries as part of our benefits package.

Job Description

As a Lead Data Scientist at Sahaj Software, you will be working with customers to deliver machine learning and deep learning projects from beginning to end. This includes understanding business needs, aggregating data, exploring data, building and validating predictive models, and deploying completed models to deliver business impact to organizations.

  • You will work with customers to select features, build and optimize classifiers using machine learning techniques.
  • Data mining using state-of-the-art methods, creating text mining pipelines to clean and process large unstructured datasets to reveal high-quality information and hidden insights using machine learning techniques.

You should have a deep understanding of computer vision problems, such as extracting rich information from images to categorize and process visual data, developing machine learning algorithms for object and image classification, experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects.

Alternatively, you should have a deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user-generated content, sentiment analysis, etc.

Additionally, you should have experience in speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing.

Required Skills and Qualifications

To be successful in this role, you will need:

  • An excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • A deep appreciation for deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow.
  • Experience in working with GPUs to develop models, handling terabyte-size datasets.
  • Experience with common data science toolkits such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit learn, caret etc – excellence in at least one of these is highly desirable.
  • The ability to work hands-on in Python, R etc. and closely collaborate and work with engineering teams to iteratively analyze data using Scala, Spark, Hadoop, Kafka, Storm etc.
  • Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage.

Predicted salary range is between $140,000 - $180,000 per annum based on location and experience.

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