Principal Data Scientist, Technology
Principal Data Scientist, Technology
Company: Force Brands LLC
Posted on: September 12, 2020
What you'll do
Data Source Identification: Understands the priority order of
requirements and service level agreements. Defines and identifies
the most suitable sources for required data that is fit for
purpose, referring to external sources as required. Performs
initial data quality checks on the extracted data. Reviews the
deliverables of junior associates and provides guidance. Data
Strategy: Understands, articulates, interprets, and applies the
principles of the defined strategy to unique, moderately complex
business problems that may span one or main functions or domains.
Problem Formulation: Analyzes the business problem within one's
discipline and questions assumptions to help the business identify
the root cause. Identifies and recommends approach to resolve the
business problem. Sets data analytics, big data analytics,
automation goals, and deliverables based on the established success
criteria and define key metrics to measure progress and
effectiveness of the solution. Quantifies business impact.
Analytical Modeling: Selects appropriate modeling techniques for
complex problems with large scale, multiple structured and
unstructured data sets. Selects and develops variables and features
iteratively based on model responses in collaboration with the
business. Conducts exploratory data analysis activities (for
example, basic statistical analysis, hypothesis testing,
statistical inferences) on available data. Identifies dimensions
and designs of experiments and creates test and learn frameworks.
Interprets data to identify trends to go across future data sets.
Creates continuous, online model learning along with iterative
model enhancements. Develops newer techniques (for example,
advanced machine learning algorithms, auto ML) by leveraging the
latest trends in machine learning, artificial intelligence to train
algorithms to apply models to new data sets. Guides the team on
feature engineering, experimentation, and advanced modeling
techniques to be used for complex problems with unstructured and
multiple data sets (for example, streaming data, raw text data).
Model Deployment & Scaling: Deploys models to production.
Continuously logs and tracks model behavior once it is deployed
against the defined metrics. Identifies model parameters which may
need modifications depending on scale of deployment. Code
Development & Testing: Writes code to develop the required solution
and application features by determining the appropriate programming
language and leveraging business, technical, and data requirements.
Creates test cases to review and validate the proposed solution
design. Creates proofs of concept. Tests the code using the
appropriate testing approach. Deploys software to production
servers. Contributes code documentation, maintains playbooks, and
provides timely progress updates. Applied Business Acumen:
Evaluates proposed business cases for projects and initiatives.
Influences business stakeholder decision making. Translate business
requirements into strategies, initiatives, and projects and aligns
them to business strategy and objectives, and drives the execution
of deliverables. Builds and articulates the business case and
return on investment and delivers work that has demonstrable value.
Challenge business assumptions on topics related to one's domain
expertise. Develops new organization-wide processes and ways of
working. Teaches and guides others on best practices. Proactively
engages in the external community to build Walmart's brand and
learn more about industry practices. Model Assessment & Validation:
Identifies and reviews model evaluation metrics based on analytical
requirements. Applies suitable techniques for model testing and
tuning, to assess accuracy, fit, validity, and robustness. Ensures
testing information is documented and maintained by the team. Data
Visualization: Identifies and recommends the most suitable
visualization tools based on context. Generates appropriate
graphical representations of data and model outcomes. Understands
customer requirements to design appropriate data representation for
complex data sets and drive User Experience designers and User
Interface engineers to build front end applications. Defines
application design based on customer requirements. Builds
compelling stories based on context to integrate multiple pieces of
information into cohesive insights. Presents to and influences
diverse audiences using the appropriate frameworks and conveys
clear messages through deep business and stakeholder understanding.
Customizes communication style based on stakeholders and leverages
relationships to drive behavioral change. Guides and mentors junior
associates on story types, structures, and techniques based on
context. Drives the execution of multiple business plans and
projects by identifying customer and operational needs; developing
and communicating business plans and priorities; removing barriers
and obstacles that impact performance; providing resources;
identifying performance standards; measuring progress and adjusting
performance accordingly; developing contingency plans; and
demonstrating adaptability and supporting continuous learning.
Promotes and supports company policies, procedures, mission,
values, and standards of ethics and integrity by training and
providing direction to others in their use and application;
ensuring compliance with them; and utilizing and supporting the
Open Door Policy. Ensures business needs are being met by
evaluating the ongoing effectiveness of current plans, programs,
and initiatives; consulting with business partners, managers,
co-workers, or other key stakeholders; soliciting, evaluating, and
applying suggestions for improving efficiency and cost-
effectiveness; and participating in and supporting community
outreach events. Minimum Qualifications...Outlined below are the
required minimum qualifications for this position. If none are
listed, there are no minimum qualifications. Option 1: Bachelors
degree in Statistics, Economics, Analytics, Mathematics, Computer
Science, Information Technology or related field and 5 years'
experience in an analytics related field. Option 2: Masters degree
in Statistics, Economics, Analytics, Mathematics, Computer Science,
Information Technology or related field and 3 years' experience in
an analytics related field. Option 3: 7 years' experience in an
analytics or related field. Preferred Qualifications...Outlined
below are the optional preferred qualifications for this position.
If none are listed, there are no preferred qualifications. Data
science, machine learning, optimization models, PhD in Machine
Learning, Computer Science, Information Technology, Operations
Research, Statistics, Applied Mathematics, Econometrics,
Publications or active peer reviewer in related journals or
conference, Successful completion of one or more assessments in
Python, Spark, Scala, or R, Using open source frameworks (for
example, scikit learn, tensorflow, torch)
Option 1: Bachelors degree in Statistics, Economics, Analytics,
Mathematics, Computer Science, Information Technology or related
field and 5 years' experience in an analytics related field. Option
2: Masters degree in Statistics, Economics, Analytics, Mathematics,
Computer Science, Information Technology or related field and 3
years' experience in an analytics related field. Option 3: 7 years'
experience in an analytics or related field.
At Walmart, we help people save money so they can live better.
This mission serves as the foundation for every decision we make,
from responsible sourcing to sustainability-and everything in
between. As a Walmart associate, you will play an integral role in
shaping the future of retail, tech, merchandising, finance and
hundreds of other industries-all while affecting the lives of
millions of customers all over the world. Here, your work makes an
impact every day. What are you waiting for?
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