DescriptionKforce’s client is looking for a Remote Senior Data Scientist.Overview:The Senior Data Scientist 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. The candidate 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 Senior 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 candidate 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; Act as a thought leader, staying abreast of the latest industry trends and technologies in data scienceRequirements* Bachelor’s degree, BS in Statistics, Computer Science, Data Science, or related quantitative field is required, along with a minimum of five years’ experience in Data Science related role* 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). data visualization tools are a plus (e.g., Tableau, Power BI)* 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, and CoreLogic* 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* Self-starter with the demonstrated ability to learn/adapt to new technologies and techniquesJob TypeDirect HireCompensation140000 – $160000
Associated topics: artificial intelligence, c#, electrical engineering, informatic, java, malware, optical, processor, robotics, software engineer
Detail orientation zillow Coaching scikit-learn facebook-insights statistics Tableau Analytical skills Apache Spark Data Engineering google-analytics Machine-learning algorithms Communication Mentoring Critical thinking data-pipelines data-mining Planning Machine Learning Engineering responsiveness Hadoop Team management Project management Software Developer Product management Power BI SAS Innovativeness state-of-the-art technologies Data Analyst Data Science Python data-warehouse Data lake R data-visualization Big data risk management Collaboration SQL Strategic Thinking TensorFlow Predictive analytics Statistical tools