LHH · 1 day ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$135K/yr - $152K/yr
5+ years exp
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Responsibilities
Lead the creation and deployment of advanced analytics models to predict, quantify, and interpret complex data related to mortgage lending. Employ machine learning, statistical analysis, and other sophisticated techniques to enhance decision-making processes, risk assessment, and customer segmentation.
Collaborate 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 updated with the latest industry trends and technologies in data science.
Apply advanced machine learning techniques and algorithms to analyze large and complex data sets, including supervised and unsupervised learning, deep learning, natural language processing, computer vision, recommender systems, anomaly detection, etc.
Ensure the accuracy and integrity of data used for analysis. Implement data collection systems and other strategies that optimize statistical efficiency and data quality. Work with data engineering teams to enhance 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 improve 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.
Develop and present clear, comprehensive reports and visualizations for both technical and non-technical audiences. Communicate complex analytical results and insights in an easily understandable manner, facilitating informed decision-making across the company.
Provide guidance and mentorship to junior data scientists and analysts. Lead project teams, ensuring the timely and successful completion of projects. Foster a culture of innovation, continuous learning, and collaboration within the team.
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 within the scope of authority.
Use expertise to resolve high-level issues that cannot be solved by teammates.
Stay updated with the 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.
Qualification
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Required
Bachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field is required
A minimum of five years of experience in data science roles, with at least two years in a senior position
Expertise in statistical software (e.g., R, SAS)
Programming languages (e.g., Python, SQL)
Big data technologies (e.g., Hadoop, Spark)
Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow)
Data visualization tools (e.g., Tableau, PowerBI)
Experience collecting structured, semi-structured, and unstructured data in various popular formats
Sourced from internal core systems as well as third-party 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, with a 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 and adapt to new technologies and techniques
Ethical, with a commitment to company values
Preferred
Master’s degree in Statistics, Computer Science, Data Science, or a related quantitative field
Experience with data lake and warehouse best practices and leading products in the marketplace
Benefits
Medical
Dental
Vision
Life insurance
AD&D
LTD
401(k) with employer match
Company
LHH
Welcome to LHH! We're a global leader in HR solutions that future-proofs organizations and careers worldwide.
10001+ employees
H1B Sponsorship
LHH has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
M. Alan Gardner
ICEO Peer Advisor
Company data provided by crunchbase
