Senior Data Scientist
Company Name:-
Yash Technologies
Job Location:-
Indore, Madhya Pradesh
Job Summary:-
We are looking forward to hire Senior Data Scientist professionals who thrive on challenges and desire to make a real difference in the business world.
With an environment of extraordinary innovation and unprecedented growth, this is an exciting opportunity for a self-starter who enjoys working in a fast-paced, quality-oriented, and team environment.
What you should have:
Minimum 5 years of relevant experience in data analytics.
Experience in leading and executing multiple data science projects in the past.
Client facing and interaction experience.
Qualification in statistics or mathematics.
Any data science certification.
Good understanding of ML & DL algorithms and frameworks (Scikit-learn, NLTK, Gensim, Opens, Tensorflow/Keras/PyTorch/H2Oetc.
).
Should have worked on diverse projects related to predictive analytics (supervised & unsupervised), prescriptive analytics (optimization), Machine Learning, Deep Learning, NLP, and computer vision
Well-versed with data science methodologies and deployment frameworks.
Good proficiency in Python/R/Tableau/Power BI Understanding of RDBMS concepts – SQL, Oracle.
Understanding and experience of data analytics solution delivery (end to end) Strong business acumen.
Willing to work in a challenging environment.
Practical experience in feature engineering and evaluation, automation of such tasks, model interpretation & visualization.
Deep understanding of data structures, algorithms, and excellent problem-solving skills.
Willing to work in a fast-paced work environment
What you will do?
Responsible for Data and Analytics insights delivery to business owner/client.
Drive significant impact and value in building, growing Data Science Centre of Excellence.
Provide machine learning methodology leadership.
Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
Work with fellow data scientistÂ’s/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder’s product challenges.
Partner with the business to understand the questions they are trying to address to unlock value, and the data they have or need to collect to address the
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