Senior Data Scientist

Guild Mortgage Company , closing loans and opening doors since 1960. As a mortgage banking firm, we are dedicated to serving the homeowner/buyer. Our goal is to provide affordable home financing for our customers, utilizing the best terms available while providing a level of professionalism and service unsurpassed in the lending industry. Position Summary The Senior Data Scientist is a key technical position and plays an important role in the organization by leading and performing a number of activities related to the company’s Information Technology functions. The Sr. Data Scientist is responsible for leading the development and deployment of innovative and impactful data products and services that solve various business problems and create value for the company and its customers. The role requires a strong background in machine learning, statistics, programming, and data engineering, as well as excellent communication and collaboration skills. The Sr. Data Scientist works closely with other data scientists, engineers, product managers, and stakeholders to understand the business needs, define the data requirements, design and implement the data pipelines and workflows, apply and evaluate the machine learning models, and deliver and communicate the data analysis results and findings. The Sr. Data Scientist also mentors and coaches junior data scientists and engineers, and stays updated with the latest research and trends in data science and related fields. Essential Functions Lead the development and deployment of sophisticated analytics models to predict, quantify, and interpret complex data related to mortgage lending. Utilize machine learning, statistical analysis, and other advanced techniques to improve decision-making processes, risk assessment, and customer segmentation. Work closely with business units to identify opportunities for leveraging company data to drive business solutions. Innovate and implement new modeling techniques and algorithms for predictive analytics and data mining projects. Apply advanced machine learning techniques and algorithms to analyze large and complex data sets, such as supervised and unsupervised learning, deep learning, natural language processing, computer vision, recommender systems, and anomaly detection. Ensure the accuracy and integrity of data used for analysis. Implement data collection systems and other strategies that optimize statistical efficiency and data quality. Partner with IT, software development, and business teams to translate business needs into technical specifications. Design and build data-driven products and services that enhance the customer experience. Develop and present clear, comprehensive reports and visualizations for both technical and non-technical audiences. Communicate complex analytical results and insights in a manner that is easily understandable. Provide guidance and mentorship to junior data scientists and analysts. Lead project teams, ensuring the timely and successful completion of projects. Identify, track, and monitor trends and avoidable technology-related errors; work across functions to develop complex solutions, improvements, and stop-gaps. Focus on the continual improvement of policies, procedures, and processes falling under the scope of authority. Use expertise to resolve high-level issues that cannot be solved by teammates. Stay abreast of latest technology trends and participate in high-level decisions impacting the direction of the Information Technology function. Partner with the DevOps team to set up scalable MLOps pipelines. Perform other duties as assigned. Qualifications Bachelor's degree, BS in Statistics, Computer Science, Data Science, or related quantitative field is required, Master’s preferred, along with a minimum of five years’ experience in Data Science related role(s) and at least two of those years spent in a senior level role(s) required. Expertise in statistical software (e.g., R, SAS), programming languages (e.g., Python, SQL), and big data technologies (e.g., Hadoop, Spark). Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow) and data visualization tools (e.g., Tableau, PowerBI). Proven experience with data lake and warehouse best practices and leading products in the marketplace. Exceptional analytical and quantitative problem-solving skills. Ability to work with complex datasets and extract meaningful insights. Demonstrated ability to lead and manage projects and teams. Strong mentoring and coaching skills to nurture talent within the team. Strong strategic thinking and planning abilities. Ability to align data science activities with business objectives. Ability to prioritize multiple tasks in a deadline-driven environment, strong sense of urgency and responsiveness. Strong detail orientation and highly organized with proven ability to lead effectively and drive results. Ability to think critically, including the ability to evaluate facts and data to draw conclusions. Self-starter with the demonstrated ability to learn/adapt to new technologies and techniques. Ethical, with a commitment to company values. Requirements Travel: Infrequent based on company events and/or relevant conferences or training. Physical: Work is primarily sedentary; mobility in an office setting. Manual Dexterity: Frequent use of computer keyboard and mouse. Audio/Visual: Ability to accurately interpret sounds and associated meanings at a volume consistent with interpersonal conversation. Guild offers a pleasant work environment, competitive compensation, and excellent benefits package, including medical, dental, vision, life insurance, AD&D, LTD, and 401(k) with employer match. Guild Mortgage Company is an Equal Opportunity Employer. Targeted Salary Range: $111,720.00 to $152,000.00 annually. Compensation at Guild is influenced by a wide array of factors including but not limited to local and federal minimum wage requirements, education, level of experience, and applicant’s geographical location.

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