Lead Data Scientist
Company: The Friedkin Group
Location: Houston
Posted on: November 19, 2024
Job Description:
LIVING OUR VALUESAll associates are guided by Our Values. Our
Values are the unifying foundation of our companies. We strive to
ensure that every decision we make and every action we take
demonstrates Our Values. We believe that putting Our Values into
practice creates lasting benefits for all our associates,
shareholders, and the communities in which we live. JOB SUMMARYThe
Lead Data Scientist at The Friedkin Group (TFG) will spearhead the
design, development, implementation and maintenance and improvement
of advanced data science initiatives across business units,
directly aligning with strategic objectives. This role encompasses
transforming innovative ideas into real-world solutions through the
application of sophisticated analytical techniques such as machine
learning, optimization, and cluster analysis.The incumbent will
lead and help to develop a newly formed data-scientists taskforce
in delivering impactful analytical solutions, ensuring these
innovations are seamlessly embedded into business operations to
drive decision-making, enhance operational efficiency, and foster a
culture of continuous improvement and innovation. As part of this
role the applicant will play a significant part in setting the AI &
ML agenda for The Friedkin Group, including working with business
units to define potential opportunities, and defining standards and
best practice for AI & ML at TFG ESSENTIAL FUNCTIONS
Translates business needs into
analytics/reporting requirements to support data-driven decisions
with required information & explain ability.Keep abreast of the
latest data science techniques and technologies. Explore and
implement innovative solutions to improve data analysis, modeling
capabilities, and business outcomes.Communicate complex data
insights in a clear and effective manner to stakeholders across the
organization, including non-technical audiences. Advocate for the
importance and value of data-driven decision making.Manage use case
design and build teams on day-to-day basis, providing guidance and
feedback as they develop and operationalize data science models and
algorithms to solve complex business problems.Ensure analytical
insights and products are embedded into business processes.Ensure
use case models/analytics are supported, maintained, and improved
(as needed) post-development and launch.Guide and sign off on
analytics/modelling approach, model deployment requirements, and
quality assurance standards with input from use case teams and
business leadership.Provide input to the long/term plan for TFGs
Data Science team, including key focus areas, talent acquisition,
input to technology platforms, and interaction model with the rest
of the organization.Foster a culture of innovation and continuous
improvement and lead the exploration and adoption of new data
science technologies and methodologies to contribute to the
advancement of TFG's analytics expertise.Work with wide landscape
of business and technical stakeholders to proactively identify
applicable new technologies and opportunities and detail and
communicate how they can deliver measurable business value.Own the
analytics solution portfolio, including model maintenance and
improvements over time. SUPERVISORY RESPONSIBILITIES
Directly supervises one or more
employees. Carries out responsibilities in accordance with the
organization's policies and applicable laws.Demonstrated ability to
lead and manage data science projects, including, managing workflow
and priorities, to ensure timely delivery of projects with
high-quality outcomes.Proven track record of recruiting, training,
and retaining a skilled data science team, identifying talent gaps,
and addressing them. QUALIFICATIONS
A master's degree or PhD in Computer
Science, Statistics, Applied Mathematics, or a related field, with
at least 5 - 7 years' experience in data science or a similar
role.Proficient in at least one analytical programming language
relevant for data science. Python ecosystem preferred, R will be
acceptable, machine learning libraries & frameworks (e.g.
TensorFlow, PyTorch, scikit-learn) and familiar with data
processing and visualization tools (e.g., SQL, Tableau, Power
BI).Expertise in advanced analytical techniques (e.g., descriptive
statistics, machine learning, optimization, pattern recognition,
cluster analysis, etc.)Experience with cloud computing environments
(AWS, Azure, or GCP) and Data/ML platforms (Databricks,
Spark).Strong understanding of the Machine Learning lifecycle -
feature engineering, training, validation, scaling, deployment,
monitoring, and feedback loop.Experience in Supervised and
Unsupervised Machine Learning including classification,
forecasting, anomaly detection, pattern recognition using variety
of techniques such as decision trees, regressions, ensemble methods
and boosting algorithms.,Good understanding of programming best
practices, building for re-use and highly automated CI/CD
pipelines. SOFT SKILLS
Proven track record of leading
cross-functional teams to successfully deliver complex data-driven
projects.Excellent problem-solving and analytical skills, with the
ability to translate complex technical details into understandable
business insights.Sees overall 'picture' and alternative approaches
and develop vision of what may be possible.Strong interpersonal and
communication skills, capable of working effectively with and
developing trust from both non-technical and technical counterparts
to influence key use case & enterprise decisions. CERTIFICATES,
LICENSES, REGISTRATIONS*
Relevant certifications such as
Microsoft Certified: Azure Data Scientist Associate or AWS
Certified Machine Learning are advantageous. PHYSICAL
REQUIREMENTSThe physical requirements described here are
representative of those that must be met by an associate to
successfully perform the essential functions of the job. While
performing the duties of the job, the associate is required daily
to analyze and interpret data, communicate, and remain in a
stationary position for a significant amount of the workday; and
frequently access, input, and retrieve information from the
computer and other office productivity devices. The associate is
regularly required to move about the office and around the
corporate campus. The associate is occasionally required to travel
to other sites, including out-of-state, where applicable, for
business. The associate must frequently move up to 10 pounds and
occasionally move up to 25 pounds. WORK ENVIRONMENTThe work
environment characteristics described here are representative of
those an associate encounters while performing the essential
functions of this job. While the job is generally performed in an
office environment, the associate is occasionally exposed to wet
and/or humid conditions, areas in which moving mechanical parts,
fumes, toxic or caustic chemicals are present, and outside weather
conditions. The noise level in the office environment is typically
quiet, but the associate may be occasionally exposed to loud noise
levels. TRAVEL REQUIREDMinimal travel is required for this position
(up to 20% of the time and on a domestic basis). The Friedkin Group
and its affiliates are equal opportunity employers and maintain
drug-free workplaces by conducting pre-employment drug testing.
TOTAL REWARDS Our Total Rewards package is an integral part of how
we recognize our associates' contributions as well as attract,
retain and reward the most qualified employees. We are committed to
providing a fair and competitive compensation structure that
includes base pay and performance based rewards, where applicable.
Compensation is based on various factors including, but not limited
to, skill set, experience, qualifications and job-related
requirements. Our benefits include medical, dental, and vision
along with wellness programs, retirement plans, paid leave and much
more! To learn more about these programs and many more, take a tour
of our We are seeking candidates who are legally authorized to work
in the United States, without Sponsorship. #HP125#LI-BM1
Keywords: The Friedkin Group, Houston , Lead Data Scientist, Other , Houston, Texas
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