Senior Azure ML/Data Scientist (Mortgage)

Responsibilities

Kforce has a client in San Diego, CA that is looking for a Senior Azure ML/Data Scientist (Mortgage) that is a key technical position and plays an important role in the organization by leading and performing number of activities related to the company's Information Technology functions. 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; Act as a thought leader, staying abreast of the latest industry trends and technologies in data science
• Applying 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
• Ensure the accuracy and integrity of data used for analysis; Implement data collection systems and other strategies that optimize statistical efficiency and data quality; Collaborate with data engineering teams to improve data collection, storage, processing, and security practices
• 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 and contribute to the bottom line; Facilitate the integration of analytics and machine learning capabilities into the company's operations and decision-making processes
  
  

Requirements

• Bachelor's degree, BS in Statistics, Computer Science, Data Science, or related quantitative field is required' Master's degree preferred, along with 5 years of 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, data visualization tools are a plus
• Proven experience with data lake and warehouse best practices and leading products in the marketplace
• Experience collecting structured, semi-structured and unstructured data in various popular formats and sourced from internal core systems as well as 3rd partner providers such as Google Analytics, Facebook Insights, Zillow, CoreLogic, MLS Data, Public Records, and Property Data
• Exceptional analytical and quantitative problem-solving skills; Ability to work with complex datasets and extract meaningful insights; Strong understanding of statistical analysis, predictive modeling, and machine learning algorithms
• Demonstrated ability to lead and manage projects and teams; Strong mentoring and coaching skills to nurture talent within the team; Ability to inspire and drive innovation
• Strong strategic thinking and planning abilities; Ability to align data science activities with business objectives; Proven capability to work under pressure and adapt to changing business environments
• 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 in a matrixed management environment
• Ability to think critically, including the ability to evaluate facts and data to draw conclusions, determine the downstream impact of decisions and associated risks
  
  

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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