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Lead/SSE Data Scientist

6.00 to 10.00 Years   Agra   18 Jan, 2024
WalkingTree Technologies
Job LocationAgra
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Job Category: Lead/SSE Data ScientistJob Location: Noida/AgraExperience Level: 6 YearsMode: Work from office (5 Days working)Roles And Responsibilities Experience in statistical modeling, machine learning, data mining, unstructureddata analytics, natural language processing. Experience in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Experience of working with LLMs, Langchain,GANs etc. Experience in Processing, cleansing, and verifying the integrity of data used for analysis Experience in Selecting features, building and optimizing classifiers usingmachine learning techniques Experience in automating scoring using machine learning techniques Experience in building recommendation systems Experience in building high quality prediction systems Experience in Selecting features, building and optimizing classifiers usingmachine learning techniques Develop processes and. tools to monitor and analyze model performance anddata accuracy Experience with Python preferably with Jupyter notebook Experience with data science libraries such as Scikit-learn, Pandas, Numpy,Scipy, Spacy, NLTK. Experience with Deep learning libraries such as Tensorflow, PyTorch Good applied statistics skills, such as distributions, statistical testing, regression,etc. Experience applying machine learning, AI, deep learning, etc. techniques to develop real time ML systems. Proven experience as an ML Engineer or similar role. Be a technical leader building and guiding the team members on best practices for building modern data and AI platforms and products.Skills & experience At least 6 years of hands-on programming experience working on enterprise products. Good problem-solving and analytical skills in data science projectsDemonstrated proficiency in multiple programming languages with a strong foundation such as Python,

Keyskills :
statistical modelingmachine learningdata miningnatural language processingclusteringartificial neural networksProcessingcleansingPythonNumpyScipyNLTKregressiondeep learningtechnical leadershipanalytical skillsunstructured data analytics

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