Senior Data Scientist

New
Free Office – work from home or anywhere you want!Full-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Required Skills
AWSPostgreSQLPythonGCPGitMachine LearningAzureDatabricksMLOpsPySpark

Requirements

  • Degree in Computer Science, Statistics, Engineering, Economics, or related field.
  • Strong communication and interpersonal skills.
  • Proven ability to balance technical delivery with mentoring.
  • Excellent problem-solving skills.
  • Strong skills in Python (pandas, numpy, scikitlearn, pyspark).
  • Hands-on experience with GCP, AWS, Azure, or Databricks.
  • Familiarity with PostgreSQL, SQL Server, BigQuery, or Snowflake.
  • Experience with supervised and unsupervised machine learning models.
  • Experience with MLOps tools like Databricks, mlflow, AWS Sagemaker, or Vertex AI.
  • Proficiency with Git version control.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning models.
  • Collaborate with data analysts, product managers, and engineering teams.
  • Develop and refine complex data features from large-scale datasets.
  • Champion data quality and integrity.
  • Monitor, analyze, and troubleshoot deployed model performance.
  • Provide technical leadership in statistical modeling and machine learning.
  • Document and present methodologies and findings.
  • Lead by example and foster a culture of scientific rigor.
  • Mentor and coach junior data scientists and analysts.
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