Data Scientist Analyst (Fully Remote) - Job Post

Data Scientist Analyst (Fully Remote)

Associate role • Remote • Hiring from multiple countries

About the Role

As a Data Scientist Analyst, support the data science team in analyzing large datasets and deriving actionable business insights for high-impact, client-facing solutions.

Job Highlights

  • Role type: Full-time, Entry/Associate level
  • Industry: Marketing, Digital Marketing
  • Work format: Remote, hiring globally
  • 500+ applicants (10 days active)

Key Responsibilities

  • Perform exploratory data analysis to identify data patterns and trends.
  • Develop and maintain predictive and prescriptive models.
  • Collaborate with stakeholders to define requirements and deliver data-driven solutions.
  • Create clear data visualizations to communicate complex findings.
  • Monitor model performance, implementing improvements as needed.
  • Ensure data accuracy, consistency, and reliability.
  • Assist in designing and optimizing data pipelines.
  • Stay updated on industry trends and best practices in data science.

Core Competencies

  • Proficiency in statistical analysis, machine learning, and data modeling.
  • Programming: Python or R, SQL, with experience using pandas, NumPy, etc.
  • Data Visualization: Tableau, Power BI, or Matplotlib/Seaborn.
  • Strong problem-solving, critical thinking, and attention to detail.
  • Excellent communication for sharing insights with non-technical stakeholders.

Requirements

  • Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field.
  • Strong skills in statistical modeling, machine learning, and data mining.
  • Experience with big data technologies (e.g., Hadoop, Spark) a plus.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) preferred.
  • Ability to manage multiple projects and deadlines independently.

Nice to Have

  • Experience with consumer data analytics, marketing, or e-commerce.
  • Knowledge of data storytelling and visualization best practices.
  • Experience with NLP or deep learning frameworks (TensorFlow, PyTorch).
  • Familiarity with Agile and project management tools.

Compensation & Benefits

  • Competitive salary with performance bonuses.
  • Flexible hours and fully remote work.
  • Opportunities for professional development.
  • Collaborative, inclusive team environment.

Apply Now

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