Data Scientist

Pylon Management Consulting

10 - 14 years

37 - 55 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

Machine Learning Algorithm Development Object Detection Cnn Artificial Intelligence Natural Language Processing Neural Networks Text Mining Deep Learning Pattern Recognition Image Processing Computer Vision OCR

Work Mode

Hybrid

Job Type

Full Time

Job Description

Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP)
Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
Contribute to internal product development initiatives related to data science.
Develop data science roadmap, and guide data scientist to meet their deliverables.
Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
Drive excellent project management required to deliver complex projects, including effort/time estimation.
Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
Build business case for technological investments to be made for future needs and to remain competitive
Ensure that billing and utilization of team members is maximized throughout the year

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