W3Global

W3Global

Senior Data Scientist

Texas City, Texas, USA · Senior · Full-time

Sponsorship not specified$120k-$150kDetected 33 days ago
PythonAlgorithmsAWSGCPAzureMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkData AnalysisData ScienceData VisualizationNLPLLMsRAGAgentic AIStatisticsCommunicationCollaborationProblem SolvingMentoringHadoop

About the role

  • You will be part of a dynamic team of data scientists, analysts, and product managers dedicated to creating innovative solutions for enterprise-level clients.
  • The team thrives on collaboration, leveraging diverse expertise to tackle complex challenges.
  • A culture of continuous learning and knowledge sharing is fostered, allowing team members to stay up-to-date with the latest industry trends and technologies.

Responsibilities

  • Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
  • As a Senior Data Scientist in client team, you will utilize advanced analytical techniques to drive insights from large datasets.
  • You will collaborate with various teams to identify opportunities for leveraging data to optimize products and services.

Requirements

  • Proficiency in programming languages such as Python or R, along with data manipulation libraries.
  • Experience with big data technologies like Hadoop, Spark, or similar platforms.
  • Excellent analytical skills with the ability to communicate complex findings to non-technical stakeholders.

Nice to have

  • A master's or Ph.D. in computer science, statistics, mathematics, or a related field..
  • Experience in the tech industry or with enterprise-level software products. - Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).
  • Roles & Responsibilities
  • Experience in the tech industry or with enterprise-level software products.
  • Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Skills

  • Strong communication and product-facing exposure are equally important.
  • Data Science, Deep Learning, Machine Learning,
  • Strong proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of statistical analysis techniques and data modeling.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Ability to work with databases and query large datasets using SQL.
  • Strong problem-solving skills and the ability to think critically.
  • Excellent communication and collaboration skills.

Compensation

  • $120k-$150k

Benefits

  • Develop and implement machine learning algorithms to solve complex business problems.
  • Stay current with the latest advancements in data science and machine learning technologies.

Company info

  • You are Responsible for: Developing and deploying machine learning models to solve business problems.
  • Analyzing complex datasets to extract actionable insights that contribute to product development.
  • Collaborating with cross-functional teams to integrate data science solutions into existing products and services.
  • Providing mentorship and guidance to junior data scientists and fostering a collaborative environment.
  • To succeed in this role - you should have the following: Strong experience in machine learning algorithms and statistical modeling techniques.
  • A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.
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This listing is sourced directly from W3Global's careers page and normalized into a canonical job model.