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Data Scientist
Raymond James Financial ServicesUnited StatesJob TitleJob Description Summary Job Description Duties: Support development of advanced decision support systems by employing advanced techniques from data analytics including statistical analysis, a
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Menlo VenturesCaliforniaRDQ427R169 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.Databricks is looking for aPrincipal Data Scientistto serve as the
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Job Description Summary Job Description Duties: Support development of advanced decision support systems by employing advanced techniques from data analytics including statistical analysis, and machine learning, particularly including NLP. Develop capabilities that improve the performance of the business units and improve efficiency. Work with business partners to define a business use case utilizing machine learning or advanced analytics. Collect, clean, and analyze data from various heterogeneous data sources. Develop machine learning models for prediction or classification in support of a business use case. Implement advanced AI solutions, e.g., deep learning. Deploy models to production systems using Docker containers. Write Python modules to automate Data Science tasks. Review Python code of junior colleagues. Requirements: Master's degree in Computer Science, MIS, Data Science, or related. Three (3) years of data science or related experience. Three (3) years of data science or related experience must include: Data Science; Demonstrated ability explaining machine learning and statistical methods using clear, domain-specific language; Machine learning algorithms, including natural language processing (NLP) techniques; Foundation in statistical methods such as hypothesis testing, confidence intervals, and regression analysis; Programming in Python, with hands-on experience using libraries such as pandas, scikit-learn, NumPy, and either PyTorch or TensorFlow; Writing optimized SQL queries for data extraction and transformation; Developing and deploying predictive models that improve measurable business outcomes; Deploying ML systems to production environments using tools such as Docker, Kubernetes, or cloud platforms (e.g., Azure, AWS, GCP); Working with Agile methodologies, including sprint planning, task estimation, and iterative development. Salary: $137,000 per year The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com. At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view. We expect our associates at all levels to: Grow professionally and inspire others to do the same Work with and through others to achieve desired outcomes Make prompt, pragmatic choices and act with the client in mind Take ownership and hold themselves and others accountable for delivering results that matter Contribute to the continuous evolution of the firm At Raymond James as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
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