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17 Talent Nexa Consulting Jobs

Principal Applied Data Scientist (10-14 yrs)

10-14 years

Principal Applied Data Scientist (10-14 yrs)

Talent Nexa Consulting

posted 2mon ago

Job Description

Job Title : Principal Applied Data Scientist

Location : Bengaluru, India

Company : Leading US-based Product Company

Job Description :


We are seeking a highly skilled and experienced Principal Applied Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data science, machine learning, and advanced analytics, with a proven track record of driving impactful business outcomes through scientific approaches.

Required Qualifications :

- Bachelor's/Master's/PhD in Data Science, Mathematics, Operations Research, or a related field.

- Strong foundation in probability, statistics, applied mathematics, or computational science.

- 10+ years of hands-on experience in analytics, data science, and big data in a business context.

- Proficiency in Machine Learning, Deep Learning, and Explainable AI concepts.

- Experience in adapting and developing state-of-the-art models for business-specific needs.

- Strong expertise in Probability and Statistics for data-driven insights.

- Proficiency in deep learning frameworks such as TensorFlow, Keras, and PyTorch.

- Experience with Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g., spaCy).

- Hands-on experience with Large Language Models (LLMs) and fine-tuning them on domain-specific datasets.

- Expertise in Neural Networks and deep learning techniques.

- Proficiency in programming languages like Python and SQL.

- Familiarity with distributed model training.

- Experience with Git for version control.

- Proficiency with cloud platforms such as Google Cloud Platform, Microsoft Azure, and AWS.

- Expertise in Design of Experiments for model evaluation and optimization.

- Strong data visualization and presentation skills to translate complex analyses into actionable insights.

- Experience with MLOps tools/frameworks (e.g., MLflow, Kubeflow, Airflow).

- Experience with ML platforms like Databricks and SageMaker.

Preferred Qualifications :

- Experience in building Recommendation Engines, NLP, and Computer Vision solutions.

- Domain knowledge of the automotive industry.

- Experience with Spark for big data processing.

- Excellent interpersonal and communication skills, with the ability to convey complex technical findings to executive stakeholders.

- Ability to work collaboratively across multiple teams and products.

- Proactive, self-motivated, and passionate about problem-solving and innovation.

What We Offer :

- Opportunity to work with a leading global product company.

- Collaborative and innovative work environment.

- Competitive compensation and benefits.

If you are passionate about solving complex problems using cutting-edge AI and ML techniques, we encourage you to apply and be part of our growth journey!


Functional Areas: Other

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