Senior Financial Data Scientist
Posted on: July 13, 2021
To produce innovative solutions driven by exploratory data analysis
from Labcorp's vast, complex and high-dimensional datasets. Apply
knowledge of statistics, data modeling, data sciences and
artificial intelligence to recognize patterns, identify
opportunities and make valuable discoveries to support Labcorp's
mission to improve human welfare. Use a flexible, analytical
approach to design, develop, and evaluate predictive models.
Generate and test hypotheses.
Essential Duties and
- Proven data science leveraging
time series techniques such as ARIMA, SARIMA, exponential
smoothing, autoregression modeling, etc.
- Background in a financial or
closely related field performing data science analysis (such as
energy, oil, trading, etc.).
- Learn to develop novel ways of
integrating, mining and visualizing diverse, high dimensional and
poorly curated data sets.
- Demonstrated solutions and
impact taking routine data and finding the extraordinary through
machine learning, AI, classical statistical techniques, and deep
- Develop novel ways for
information retrieval from unstructured data such as medical
records or laboratory reports.
- Deliver advanced machine
learning techniques and transformative and generative modeling
approaches applied to time series such as CNN's, RNN's, LSTM's, and
- Apply advanced techniques to
practical solutions such as enterprise data initiatives and causal
modeling of diseases.
- Develop and deliver
presentations to communicate technical ideas and analytical
findings to non-technical partners and senior leadership, including
underwriters and IT professionals
- Build underlying software
infrastructure to better manage, integrate and mine the data that
Labcorp processes on a daily basis.
- Work closely with engineering
teams and with some supervision participate in the full development
cycle from product inception, research and prototyping to release in
- Interpret data and learn how
to present to others the stories they represent through rich and
- Write production quality code
while implementing your own ideas.
Knowledge, Skills &
in artificial intelligence and statistical learning, with targeted
areas for time series and financial use cases.
- Experience with statistical
methodologies and machine learning techniques such as: neural
networks, graphical models, ensemble methods and natural language
- Experience with multiple deep
learning techniques such as CNN, LSTM, RNN, etc., in addition to
standard machine learning approaches such as those found in
- Master of evaluation
techniques for supervised and unsupervised techniques. Knows to
evaluate the quality of data and determine gaps in data or
- Proficiency with
develop meaningful python code using objective oriented programming
and functional programming. Writes tests for code. Can debug errors
- Strong data visualization
- Familiarity with one or more
machine learning libraries or frameworks such as: PyTorch,
- Experience with rational and
non-structure databases is highly desirable.
- Experience using cloud
technologies such as AWS with tools such as S3, EC2, Lambda,
- Demonstrated success in
technical proficiency, scientific creativity, collaboration with
others and independent thought.
- Ability to collaborate with
the team and translate existing research into practical solutions
and products ability to build and manage relationships with various
collaborators across and outside the company.
- Comfortable working with both
technical and non-technical staff to translate concepts and
algorithms into working prototypes.
- Drive project execution and
implement a robust plan for measuring success
- Lead discussions with senior
leadership at the department or functional level
Keywords: Labcorp, Durham , Senior Financial Data Scientist, Other , Durham, North Carolina
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