VP, Data Science
$83K-$166K (Glassdoor est.)
Oversee a team of Data Scientists with overall responsibilities to analyze vast amounts of raw data to find patterns and build models that will help improve profitability, our customers’ experience, improve processes, and mitigate risks. Utilize your skills as an experienced Data Scientist to extract valuable business insights, and make real-time predictions to improve the profitability of our business or how our business operates.

Collaborate with business domain subject matter experts in various departments to understand the problem and the objectives.
Identify valuable data sources, and work with our IT team to collect such data.
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Research and devise innovative statistical models for data analysis
Build predictive models, neural networks, and machine-learning algorithms
Combined models through ensemble modeling
Present information using data visualization techniques
Propose data science solutions and strategies to business problems
Ensure solutions are feasible to implement and achieve the objectives.
Manage a team of more junior data scientists working on various potentially unrelated problems.

BS in Computer Science, Engineering, Applied Math or related discipline; graduate degree in Data Science or other quantitative field is desirable
Proven experience as a Data Scientist
Minimum 5 years of experience in data mining, machine learning, neural networks or other data science technique
Strong proficiency with R, SQL, and Python including the Tensorflow, Keras, and XGBoost libraries.
Experience with Excel and PowerPoint
Strong quantitative, math, and problem solving skills
Excellent communication and presentation skills
Strong business acumen and ability to interface effectively with executive management
Curious and creative mind that seeks continuous improvement
PennyMac
3.2
PennyMac
