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  • Data Scientist - Remote

    /PhD) in statistics, computer science, engineering, or a related technical field Expert knowledge in programming languages such as Python and SQL Solid understanding of coding best practices and model documentation Ability to work independently in

  • Staff Machine Learning Engineer - Remote

    degree with 10+ years of relevant work experience in quantitative disciplines Strong experience in AI and ML within the financial technology or service industry Proven track record in building and deploying machine learning models Proficiency in Python...and SQL Experience with AWS cloud services, particularly SageMaker for model development and deployment

  • Staff Machine Learning Engineer - Remote

    Master's degree or Bachelor's degree with 10+ years of relevant experience in a quantitative field Strong experience in AI and ML within the financial technology sector Proven track record in building and deploying machine learning models Proficiency in Python...and SQL Experience with AWS cloud services, particularly SageMaker

  • Data Scientist - Risk - Remote

    Required Qualifications 4+ years of experience in data science, analytics, or quantitative credit risk management Advanced degree (Master's or PhD) in a quantitative field preferred; exceptional Bachelor's candidates considered Strong proficiency in Python...and SQL, with expertise in statistical analysis and machine learning techniques Solid understanding of credit lifecycle and consumer lending principles Proven ability to manage projects and collaborate in a fast-paced, cross-functional team environment

  • Quantitative Risk Analyst - Remote

    quantitative research in relevant sectors Familiarity with financial products and key risk factors associated with them Deep understanding of statistical and machine learning models used in finance Proficiency in programming skills, particularly Python...and SQL

  • Senior Data Scientist - Remote

    inference 2+ years of customer-facing project delivery experience 3+ years of experience in data visualization using tools like Power BI or matplotlib 5+ years of experience in data science or machine learning, focusing on predictive models using Python...and SQL

  • Data Scientist III - Remote

    data science or related field, or suitable combination of education and experience 3+ years of experience in building models and deep learning algorithm development Strong foundation in statistics, probability, and hypothesis testing Proficiency in Python..., R, and SQL for data manipulation and analysis Experience with cloud tools for data science and machine learning, such as Jupyter Notebooks and Tableau

  • Principal Data Scientist - Remote

    years of experience with advanced statistical and machine learning methods Experience in a Principal or Staff-plus role at an analytically mature organization Demonstrated success in launching new modeling initiatives or research domains Expertise in Python...or R, SQL, and modern data science tooling

  • Senior Machine Learning Engineer - Remote

    quantitative field such as Statistics, Mathematics, or Computer Science 2+ years of experience in statistical modeling and quantitative analysis Strong knowledge of Python or R, including libraries such as Pandas and TensorFlow Experience with large-scale databases...and SQL Familiarity with machine learning algorithms and techniques

  • Data Scientist II - Remote

    Required Qualifications Advanced degree in a quantitative discipline (Master's or PhD preferred) with 2+ years of experience in applying advanced quantitative techniques, ideally in the insurance industry Strong programming skills with experience in SQL...and Python Demonstrates ownership mentality and accountability for high-impact work Ability to frame functional problem statements and make informed decisions in a well-defined problem space Preferred: Experience with version control (Git) and cloud

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