Data Scientist - Tanisha Systems

Job description:-

Title: Data Scientist
Location: Philadelphia, PA
Duration: ... 12+months

Rate/ Salary: 130-150K Max.

Who are we looking for?

• Looking for individuals with 10+ years of experience implementing and managing Data science projects . Working knowledge of Machine and Deep learning-based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, TensorFlow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc. and have a working knowledge of SQL and no-SQL databases and microservices. Should be adapt at Python Scripting. Experience on NLP and Text Analytics is preferred.

Responsibilities:

Technical Skills Must have:

• Knowledge of Natural Language Processing(NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics
• Should have strong understanding & hands on experience with machine learning frameworks like scikit-learn, TensorFlow, keras and deep learning architectures like RNNs and LSTM , BERT
• Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases.
• Ability to create data and Client pipelines for more efficient and repeatable data science projects using MLOps principles.
• Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
• Strong understanding of evaluation and monitoring metrics for machine learning projects.
• Strong understanding of containerization using docker and Kubernetes to get the models into production.
• Ability to Translate complex machine learning problem statements into specific deliverables and requirements.
• Adept at Python Scripting

Technical Skills Good to have:

• Knowledge of distributed computing frameworks and cloud Client frameworks including AWS, Azure, and GCP
• Experience in natural language processing, computer vision, or deep learning.
• Certifications or courses in data science, analytics, or related fields.
• Should exhibit diligence and meticulousness in working with data.

OTHER SKILLS WE'D APPRECIATE

• 10+ years of Software Development experience
• 4+ years of experience in the Data Science and Machine Learning techniques
• Proven track record of getting Client models into production.
• Hands-on experience with writing Client models with Python.
• Prior experience in Client platforms and tools such as Dataiku, DataBricks, etc. would be a plus.

EDUCATION QUALIFICATION

• Graduate in Engineering OR master s in computer applications.

Process Skills:

• General SDLC processes
• Understanding of utilizing Agile and Scrum software development methodologies
• Skill in gathering and documenting user requirements and writing technical specifications.

Behavioural Skills:

• Good Attitude and Quick learner.
• Well-developed design, analytical & problem-solving skills
• Strong oral and written communication skills
• Excellent team player, able to work with virtual teams.
• Self-motivated and capable of working independently with minimal management supervision.

Certification:

• Having Machine Learning or AI certifications would be an added advantage.

About We, Inc.

We, founded in 2002 in Massachusetts-USA, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in USA and *.
We services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.

Want to read more about We? Visit us at www.tanishasystems.com

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