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Data Scientist

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Onsite

Data Scientist

NumeriX Capital

Data Scientist

Skills

SQL QueriesBig DataData MiningPythonJavaTensorFlowRData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingTalendHadoop

2 months ago

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Important information


Contract type:

Permanent, Internship

Salary:

$124,964 – $150,494 / year

Work mode:

Onsite

Published on:

17 August 2026

What they need


Job Summary

We are seeking a dynamic and innovative Data Scientist to join our analytics team. In this role, you will harness the power of data to uncover actionable insights, develop predictive models, and drive strategic decision-making across various business units. Your expertise in machine learning, statistical analysis, and big data systems will be instrumental in transforming complex data sets into meaningful solutions. This position offers an exciting opportunity to work with cutting-edge AI and data mining technologies, contributing to scalable data analytics initiatives that impact our organization’s growth and efficiency.

Responsibilities

  • Design, develop, and implement advanced machine learning models and AI solutions using frameworks such as TensorFlow and Spark.
  • Conduct statistical modeling and analysis to support research projects, ensuring accuracy and reproducibility of results.
  • Build and optimize ETL pipelines for large-scale data processing using tools like Talend, Hadoop, and SQL databases.
  • Collaborate with cross-functional teams to deploy AI models into production environments with a focus on scalability and robustness.
  • Utilize cloud-based machine learning services on AWS or similar platforms for model training, evaluation, and deployment.
  • Perform natural language processing (NLP) tasks for text analytics and generate insights from unstructured data sources.
  • Develop database designs optimized for big data systems and implement efficient data mining strategies to extract valuable information.

Requirements

  • Proven experience in machine learning, AI implementation, and statistical analysis tools such as R or SAS.
  • Strong programming skills in Python, Java, C, Bash (Unix shell), and familiarity with machine learning frameworks like TensorFlow or similar.
  • Hands-on experience with big data systems including Hadoop, Spark implementation, and SQL/NoSQL databases.
  • Expertise in cloud-based AI/ML services on AWS or comparable platforms for scalable model training and deployment.
  • Knowledge of database design principles along with proficiency in SQL for data querying and manipulation.
  • Familiarity with natural language processing techniques and generative AI models for advanced text analytics.
  • Ability to work with large datasets using data mining techniques while ensuring high performance and efficiency.

Join us if you’re passionate about leveraging big data systems, AI models, and statistical analysis tools to solve complex problems! We value innovative thinkers who thrive in fast-paced environments dedicated to pushing the boundaries of analytics technology.

Pay: $124,964.52 - $150,494.91 per year

Work Location: In person

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