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Data Scientist

3 months ago

New York, United States augmentjobs Full time
Job DescriptionJob Description

Overview

We are seeking a skilled and analytical Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract valuable insights from complex datasets. You will collaborate with cross-functional teams to solve business challenges, drive data-driven decision-making, and enhance our company's competitive advantage through innovative data solutions.

Roles and Responsibilities:

  1. Data Analysis and Modeling:

    • Collect, preprocess, and clean data from multiple sources to ensure accuracy and reliability.
    • Apply advanced statistical analysis, machine learning techniques, and predictive modeling to interpret data, identify trends, and solve complex problems.
    • Develop algorithms and models to uncover patterns, correlations, and insights that drive business strategy and decision-making.

  2. Data Visualization and Communication:

    • Create visualizations and dashboards to present findings, trends, and actionable insights to stakeholders and senior management.
    • Communicate technical concepts and methodologies to non-technical audiences, facilitating data-driven decision-making across the organization.

  3. Algorithm Development and Optimization:

    • Design and implement algorithms for data mining, machine learning, and statistical analysis.
    • Optimize models for performance, scalability, and accuracy using techniques such as feature engineering, hyperparameter tuning, and cross-validation.

  4. Collaboration and Cross-Functional Support:

    • Collaborate with stakeholders, including business analysts, engineers, and product managers, to understand business requirements and translate them into analytical solutions.
    • Provide expertise and guidance on data-driven strategies, experiments, and initiatives to achieve business objectives.

  5. Continuous Learning and Innovation:

    • Stay updated with advancements in data science, machine learning algorithms, and technologies.
    • Experiment with new tools, frameworks, and methodologies to improve data analysis processes and enhance predictive modeling capabilities.

  6. Ethics and Data Governance:

    • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and ethical standards in data collection, analysis, and usage.
    • Implement data governance practices and protocols to maintain data integrity, security, and confidentiality.

Compensation:

  • Competitive salary based on experience, qualifications, and market rates for data scientists.
  • Performance-based bonuses and incentives tied to project success, data-driven insights, and business impact.
  • Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.