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Data Scientist na Cobalt

Remoto - Remote - US (East Coast)

Candidatar-se

This role presents an excellent opportunity for a proactive and analytical Data Scientist with approximately three years of professional experience, eager to apply and expand their expertise in a dynamic, data-driven environment. The individual will serve as a key contributor to our data science initiatives, working closely with the Director of Data Science, senior data scientists, and various cross‑functional teams. The primary objective will be to transform complex raw data into actionable insights that directly drive strategic business decisions and improve operational efficiency. This position offers significant opportunities for hands‑on machine learning model development, in‑depth data analysis, and active participation in the full lifecycle of data science projects. All of these contributions will be made while benefiting from direct mentorship and a clear professional growth path within the team.

Salary

USD 100,000 - 130,000/year

Requirements

Experience

  • 3+ years of professional experience as a Data Scientist, Data Analyst, or closely related quantitative role
  • Proven track record of applying analytical techniques to solve real‑world problems
  • Experience working with large, diverse datasets and contributing to data‑driven projects from conception to delivery of insights

Skills

  • Python (Pandas, NumPy, scikit-learn)
  • R
  • SQL
  • Statistical analysis
  • Hypothesis testing
  • A/B testing
  • Regression analysis
  • Machine learning algorithms (linear/logistic regression, decision trees, random forest, gradient boosting, clustering)
  • Data visualization (Matplotlib, Seaborn, ggplot2, Tableau, Power BI)
  • Version control with Git

Responsibilities

  • Data Collection, Cleaning, and Preprocessing
  • Exploratory Data Analysis (EDA) and Hypothesis Testing
  • Machine Learning Model Development and Implementation
  • Data Visualization and Reporting
  • Collaboration and Communication
  • Contribution to Data Strategy and Best Practices

Technologies

PythonPandasNumPyscikit-learnRSQLStatistical AnalysisA/B testingRegression AnalysisProbability DistributionsMachine Learning AlgorithmsLinear RegressionLogistic RegressionDecision TreesRandom ForestGradient BoostingClusteringMatplotlibSeabornggplot2TableauPower BIGit

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