Senior Data Scientist

Capgemini • Van Buren Township, IN

1d

About The Position

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your role

You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project.
You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation.
The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals.
This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams.

Requirements

• Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.)
• Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD.
• Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud.
• NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus.

Nice To Haves

• experience with libraries like NLTK, Spacy, Stanford Core-NLP

Responsibilities

• Work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project.
• Take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation.
• Collaborate on ML asset creation
• Learn and impart trainings to fellow data science professionals.

Benefits

• We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as Generative AI.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed