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Standard / Senior Data Science specialist

NextLink Group

Roles & Responsibilities

  • University degree in mathematics, statistics, machine learning, data science or related field.
  • Proficient in Python and associated machine learning and data manipulation libraries.
  • Experience with cloud platforms and architecture (e.g., AWS).
  • Familiar with CI/CD frameworks and automated deployment practices.

Requirements:

  • Apply advanced data science techniques (clustering, classification, attribution modeling, time series analysis, NLP) to marketing and customer analytics, including ROI and performance modeling.
  • Build, validate, and deploy Python-based models on cloud platforms; provision data APIs; follow CI/CD and automated deployment practices.
  • Communicate findings to cross-functional teams and embed insights into business processes; develop data visualizations and dashboards using Tableau/QuickSight.
  • Analyze web analytics and digital marketing metrics to monitor performance, detect trends and anomalies, and support data-driven decision making.

Job description

This is a remote position.

Range of years of experience:

5+ years of experience in an enterprise data science role for Standard.

10+ years of experience in an enterprise data science role (or similar) for Senior

Skills: • University degree in mathematics, statistics, machine learning, data science or related field.

• Proficient in Python and associated machine learning and data manipulation libraries.

• In-depth understanding of web analytics, digital marketing metrics, and tools.

• Strong understanding of ROI and performance modeling for marketing and customer analytics.

• Expertise in clustering, classification, and attribution modeling techniques.

• Proven expertise in time series analysis for trend detection, forecasting, and anomaly detection in business metrics.

• Knowledge of Natural Language Processing (NLP) and entity recognition.

• Experience with cloud platforms and architecture.

• Familiar with CI/CD frameworks and automated deployment practices.

• Knowledge of provisioning of data APIs.

• Skilled in using data visualization tools

• Proven ability to work with cross-functional teams, effectively communicate findings, and integrate data-driven insights into business processes.

Software development languages and tools: Python, Jupyter, SQL, Tableau, AWS, QuickSight, Athena, Glue, Spark
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