Senior Manager - Data Science

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Offer summary

Qualifications:

12+ years of experience in Data Science projects management., Expertise in machine learning frameworks like scikit-learn, TensorFlow, and Keras., Proficient in Python scripting and knowledge of SQL and no-SQL databases., Bachelor's degree in Computer Science or related field; Master's preferred..

Key responsabilities:

  • Implement and manage Data Science projects using machine learning and deep learning techniques.
  • Create data and ML pipelines following MLOps principles for efficient project execution.
  • Stay updated with new tools and techniques in machine learning and apply them in the organization.
  • Translate complex machine learning problems into specific deliverables and requirements.

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Mphasis https://www.mphasis.com/
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Job description

POSITION / TITLE: Senior Data Science

Location: Offshore – Hyderabad/Bangalore/Pune/Chennai

Who are we looking for?

Looking for individuals with 12+ 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 ML 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 ML frameworks including AWS.

 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 ML models into production

 Hands-on experience with writing ML models with Python.

 Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. would be a plus

Education Qualification

 Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred).

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.

Behavioral 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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Teamwork
  • Problem Solving

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