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Jasper National Partners in Dallas, TX is seeking a Data Scientist for a full-time role to analyze data, build insights, and support strategic decisions.
The role involves gathering data from multiple sources, cleaning and preparing it, developing machine learning models, and creating visualizations to communicate findings to stakeholders. Collaboration with the data team and cross-functional partners is essential.
Jasper National Partners, a financial services firm, seeks a Data Scientist in Dallas, TX, for a full-time position. The role involves analyzing data to provide insights and support strategic decisions.
The Data Scientist will be responsible for gathering data from various sources, ensuring its quality through cleaning processes, and performing in-depth analysis to uncover trends and patterns. This role involves developing and implementing machine learning models to make data-driven predictions and decisions. Additionally, the Data Scientist will create visualizations, such as charts and graphs, to effectively communicate their findings to stakeholders. These visualizations will help in presenting complex data in an easily understandable format, facilitating better decision‑making processes.
The Data Scientist will work in a collaborative environment with the data team in Dallas, TX. They will participate in cross‑functional projects and contribute to the firm's data‑driven decision‑making process.
The salary range for this position is between $110,000 and $154,321 per year, providing a competitive compensation package. In addition to the base salary, employees are eligible for comprehensive health insurance plans that cover medical, dental, and vision care. The company also offers a robust retirement plan, including a 401(k) match, to help employees save for their future. Furthermore, professional development opportunities are available, such as tuition reimbursement and access to online courses and workshops, to support employees' career growth and skill enhancement.
The Data Scientist should have a degree in computer science, statistics, or a related field. Experience with data analysis tools like Python, R, and SQL is required. Knowledge of machine learning algorithms and experience with big data technologies is a plus.