Description

Position Summary...

What you'll do...
Conduct advanced statistical analysis to determine trends and significant data relationships.
Build learning systems to analyze and filter continuous data flows and offline data analysis.
Train algorithms to apply models to new data sets.
Validate models and algorithmic techniques.
Scale new algorithms to large data sets.
Combine data features to determine search models.
Research new techniques and best practices within the industry.
Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
Interpret data to identify trends to go across future data sets.
Develop models of current state in order to determine improvements needed.
A Principal Data Scientist is responsible for collaborating with a business segment to determine long-term vision and provide analytical support and
guidance. A Principal Data Scientist analyzes large data sets to develop multiple, complex custom models and algorithms to drive innovative business
solutions. Principal Data Scientists work on large project teams in order to provide analytical support and guidance to a large project team (for
example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. The algorithms built by the Principal Data
Scientist will be tested, validated, and applied to large data sets. Principal Data Scientists are responsible for training algorithms so they can be
applied to future data sets and provide the appropriate search results. Principal Data Scientists are responsible for researching new trends in the
industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned
business segment. Principal Data Scientists are the subject matter experts for statistical analysis and modeling for their large project team.
Review business strategies to ensure alignment across initiatives.
Provide guidance to cross-functional leadership regarding data modeling possibilities.
Lead project teams to develop innovative solutions to drive innovative business solutions.
Translate business needs into data modeling initiatives.
Develop machine learning models to apply test data algorithms to future data.
Lead the implementation of data modeling solutions.
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.
Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work
environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching
for success and improvement; and ensuring diversity awareness.
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.
Live our Values
Culture Champion
• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart’s commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadership
• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Embrace Change
Curiosity & Courage
• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change
• Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
Deliver for the Customer
Customer Focus
• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.
Strategic Thinking
• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team’s strategy.
Focus on our Associates
Diversity, Equity & Inclusion
• Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team; embraces diversity in all its forms; and actively supports diversity goal programs.
Collaboration & Influence
• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Management
• Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others’ contributions and accomplishments.

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)

Primary Location...
121 River St, Hoboken, NJ 07030-5989, United States of America

Responsibilities

• Conduct advanced statistical analysis to determine trends and significant data relationships
• Build learning systems to analyze and filter continuous data flows and offline data analysis
• Train algorithms to apply models to new data sets
• Validate models and algorithmic techniques
• Scale new algorithms to large data sets
• Combine data features to determine search models
• Research new techniques and best practices within the industry
• Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog)
• Interpret data to identify trends to go across future data sets
• Develop models of current state in order to determine improvements needed
• A Principal Data Scientist is responsible for collaborating with a business segment to determine long-term vision and provide analytical support and
• Principal Data Scientists work on large project teams in order to provide analytical support and guidance to a large project team (for
• example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce
• Scientist will be tested, validated, and applied to large data sets
• Principal Data Scientists are responsible for researching new trends in the
• industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned
• Principal Data Scientists are the subject matter experts for statistical analysis and modeling for their large project team
• Review business strategies to ensure alignment across initiatives
• Provide guidance to cross-functional leadership regarding data modeling possibilities
• Lead project teams to develop innovative solutions to drive innovative business solutions
• Translate business needs into data modeling initiatives
• Develop machine learning models to apply test data algorithms to future data
• Lead the implementation of data modeling solutions
• 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
• Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work
• environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching
• for success and improvement; and ensuring diversity awareness
• 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
• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent
• Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working
• Customer Focus
• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans
• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team’s strategy
• Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team; embraces diversity in all its forms; and actively supports diversity goal programs
• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action

Qualifications

• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks
• Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others’ contributions and accomplishments
• 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 3: 7 years' experience in an analytics or related field
• 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)