TalentAQ

TalentAQ

Sr. Data Scientist

Data ScienceContract12+ yearsPlano, Texas

Required Skills
12 skills

Python
R
SQL
ML
algorithms
NLP
Spark
Hadoop
Hive
Elasticsearch
communication
stakeholder

Job Description

<h3>Job Overview</h3><p>We are seeking a Senior Data Scientist to join our team and contribute to a long-term, onsite project within the automotive domain. The ideal candidate will leverage their extensive experience in data science to develop and implement advanced analytical solutions.</p><h3>Key Responsibilities</h3><ul><li>Develop and implement machine learning models for predictive and prescriptive analytics.</li><li>Utilize Python, R, and SQL to extract, clean, and analyze large datasets.</li><li>Collaborate with stakeholders to understand business needs and translate them into data-driven solutions.</li><li>Apply NLP techniques to extract insights from unstructured data.</li><li>Communicate findings and recommendations to technical and non-technical audiences.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in Python, R, and SQL.</li><li>Experience with machine learning algorithms and NLP techniques.</li><li>Strong background in predictive and prescriptive analytics.</li><li>Excellent communication and stakeholder interaction skills.</li></ul>

Job Overview

We are seeking a Senior Data Scientist to join our team and contribute to a long-term, onsite project within the automotive domain. The ideal candidate will leverage their extensive experience in data science to develop and implement advanced analytical solutions.

Key Responsibilities

  • Develop and implement machine learning models for predictive and prescriptive analytics.
  • Utilize Python, R, and SQL to extract, clean, and analyze large datasets.
  • Collaborate with stakeholders to understand business needs and translate them into data-driven solutions.
  • Apply NLP techniques to extract insights from unstructured data.
  • Communicate findings and recommendations to technical and non-technical audiences.

Required Skills

  • Proficiency in Python, R, and SQL.
  • Experience with machine learning algorithms and NLP techniques.
  • Strong background in predictive and prescriptive analytics.
  • Excellent communication and stakeholder interaction skills.

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