Data Scientist
Company: LEK
Location: Los Angeles
Posted on: October 24, 2024
Job Description:
Boston, Chicago, Houston, Los Angeles, San FranciscoJob
DescriptionAbout L.E.K. ConsultingL.E.K. Consulting is a global
management consulting firm that uses deep industry expertise and
rigorous analysis to help business leaders achieve practical
results with real impact. We are uncompromising in our approach to
helping clients consistently make better decisions, deliver
improved business performance and generate greater shareholder
returns. The firm advises and supports global companies that are
leaders in their industries - including the largest private and
public sector organizations, private equity firms and emerging
entrepreneurial businesses. Founded more than 35 years ago, L.E.K.
employs more than 2,200 professionals across the Americas,
Asia-Pacific and Europe. For more information, go to
www.lek.com.Overview of the Data & Analytics team:L.E.K.'s Data &
Analytics function is focused on creating and deploying
best-in-class capabilities to drive business results for our
clients. The team is comprised of data scientists, data engineers,
technical business analytics consultants, and product managers who
work together to solve some of the most challenging business
problems our clients have. We drive the full analytics life cycle
on client engagements: scoping and understanding business
challenges, developing and maintaining robust data assets, creating
and running innovative analytical techniques, generating compelling
visualizations to communicate the findings / recommendations. We
build, develop, and maintain innovative tools and applications for
use across projects and for specific clients. We coach, mentor and
train colleagues from across the business, on everything from what
types of commercial problems analytical techniques can help solve
to in-depth technical training for specific types of analysis.We
are actively looking for a Data Scientist or Senior Data Scientist
to join L.E.K.'s rapidly growing Data & Analytics team. The primary
focus of this role is to provide technical expertise: helping to
execute on complex analytics across a wide variety of often
fast-paced client engagements, helping to build innovative tools
and applications that can help solve client's commercial issues,
helping to execute cutting edge analytical techniques, helping to
drive technical roadmaps for the function and firm, and training
our colleagues.As part of a dynamic and growing team, there is
every opportunity to carve out value added work, and to grow your
skills and experience. You receive state-of-the-art training in a
variety of domains and lead the organization to adopting new and
innovative methods to solve our clients' hardest questions. You
won't just be a technical expert: you will intersect between data
science and commercial business understanding, across a variety of
domains to provide analytically driven recommendations to our
clients.Data & Analytics is one of four key pillars to the
Solutions Team at L.E.K. Consulting, alongside Market Insights,
Information & Research Center and Knowledge Management. The
Solutions team works together to support and enable our consulting
team members to generate best in class insights for our
clients.Responsibilities:Client engagements:
- Lead end-to-end data science projects from conceptualization
through to deployment, and deploy advanced machine learning models
in clients' cloud environments, optimizing for scalability,
performance, and reliability to address specific business
challenges and objectives.
- Support clients in strategically leveraging technical models,
guiding them through the interpretation of results and the
integration of actionable insights into their business
workflows.
- Solve a wide variety of complex analytical challenges for
clients, sometimes dynamically balancing multiple client
engagements at one time.
- Analytical needs can include: data aggregation / creation, data
cleaning / manipulation, commercial data science (e.g., geospatial,
machine learning, predictive modelling, NLP, GenAI etc.), and
visualizations.
- Help drive the technical roadmap needed to support client
engagements.Analytical apps, service lines, and proprietary data
assets:
- Drive the development of state-of-the-art analytical apps,
leveraging up-to-date in machine learning algorithms to solve
complex problems.
- Collaborate with a variety of stakeholders to continuously
innovate on the apps, service lines and proprietary data assets we
can offer.
- Provide technical expertise and thought leadership on
developing analytical tools, services lines, and proprietary data
assets, and contribute to building these areas directly when
applicable.
- Uphold best-in-class standards in app development, data
integrity, and ensuring solutions are both scalable and
maintainable.Client / business development:
- When relevant, support Managing Directors in developing and
delivering client proposals where advanced data and analytics are
critical to the scope of work.
- Provide input into training / upskilling the D&A team
provides to Managing Directors to ensure they are aware of all of
our most current capabilities.Capability development:
- Stay up to date on best-in-class software, tools, and
techniques to ensure that we are able to provide clients with
best-in-class solutions.
- Support commercialization and upskilling of staff on relevant
software, tools and techniques.
- Help drive the technical roadmap to ensure we are operating a
best-in-class Data & Analytics function.
- Mentor team members, contribute to technical capabilities of
the team.Qualifications and Experience:
- Degree in a quantitative and/or business discipline preferred,
examples include: Statistics, Computer Science, Data Science,
Mathematics, Operations Research, Engineering, Economics.
- A minimum of 2 years of experience in applied data science with
a solid foundation in machine learning, statistical modeling, and
analysis is required for a Data Scientist.
- A minimum of 4 years of experience in applied data science with
a solid foundation in machine learning, statistical modeling, and
analysis is required for a Senior Data Scientist.
- Strong knowledge, experience, and fluency in a wide variety of
tools including Python with data science and machine learning
libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL;
familiarity with Alteryx and Tableau preferred.
- Technical understanding of machine learning algorithms;
experience with deriving insights by performing data science
techniques including classification models, clustering analysis,
time-series modeling, NLP; technical knowledge of optimization is a
plus.
- Expertise in developing and deploying machine learning models
in cloud environments (AWS, Azure, GCP) with a deep understanding
of cloud services, architecture, and scalable solutions (e.g.,
Sagemaker, Azure ML, Kubernetes, Airflow).
- Demonstrated experience with MLOps practices, including
continuous integration and delivery (CI/CD) for ML, model
versioning, monitoring, and performance tracking to ensure models
are efficiently updated and maintained in production
environments.
- Hands-on experience with manipulating and extracting
information on a variety of large both structured and unstructured
datasets; comfort with best data acquisition and warehousing
practices.
- Experience with commercial business analytics; experience at a
consulting firm / agency is a plus.
- Proficient Excel, PowerPoint presentation and excellent
communication skills, both written and oral; ability to explain
complex algorithms to business stakeholders.
- Ability to achieve results through others; experience and
proven success record working in matrix, agile and fast-growing
environments; and assertive, intellectually curious and
continuously driving towards excellence.For more information and to
apply, go to https://www.lek.com/join-lek/apply/apply-now.
- Candidates responding to this posting must currently possess
eligibility to work in the United States.
- L.E.K. Consulting is an Equal Opportunity Employer.
- L.E.K. Consulting has a hybrid work model in place for our U.S.
offices.
- In California, the base salary is between $80,000 - $145,000
(USD); placement within this range will vary based on experience
and skill level. L.E.K. also offers a performance bonus, profit
sharing and other benefits.
- In other locations, competitive pay is commensurate with the
role and geography.
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Keywords: LEK, Newport Beach , Data Scientist, Other , Los Angeles, California
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