Data Scientist

Schillinger & Finsterwald, LLP

  • New York
  • 2 days ago
  • Remote

    Highlights

    You will be responsible for developing predictive models, analyzing large datasets, and providing data-driven insights to support business decisions. Excellent problem-solving skills and the ability to explain complex technical concepts to non-technical stakeholders.

    Numbers & Facts

    LocationNew York (
    Remote
    )

    Description

    Job Title: Remote Data Scientist

    Location: Remote (U.S. Only)
    Job Type: Full-time

    Job Summary:

    We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for developing predictive models, analyzing large datasets, and providing data-driven insights to support business decisions. The ideal candidate has experience in machine learning, statistical modeling, and data visualization. This is a fully remote position, but applicants must be based in the U.S.

    Key Responsibilities:

    • Develop and implement machine learning models and predictive analytics solutions.
    • Analyze large and complex datasets to extract meaningful insights.
    • Design, build, and optimize data pipelines and ETL processes.
    • Communicate findings through data visualizations, reports, and presentations.
    • Work with cross-functional teams to identify and solve business challenges using data science.
    • Ensure data quality, integrity, and security while working with sensitive information.

    Required Qualifications:

    • 1+ year of experience as a Data Scientist or in a similar role.
    • Strong programming skills in Python or R, with experience in pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
    • Proficiency in SQL and working with large databases.
    • Experience with statistical modeling, hypothesis testing, and A/B testing.
    • Knowledge of cloud platforms (AWS, GCP, or Azure) for data storage and processing.
    • Excellent problem-solving skills and the ability to explain complex technical concepts to non-technical stakeholders.

    Preferred Qualifications:

    • Experience with big data technologies (Spark, Hadoop, Databricks).
    • Familiarity with natural language processing (NLP) or deep learning techniques.
    • Strong background in data engineering and automating data workflows.

    Benefits:

    • Competitive salary with performance-based bonuses.
    • Fully remote with flexible work hours.
    • Health, dental, and vision insurance.
    • 401(k) with company matching.
    • Paid time off, sick leave, and professional development opportunities.

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