Data Scientist- Marketing
Position SummaryWhat you'll do Working at Sam's Club means a career without boundaries.
There's always room to grow, to take on another challenge, to roll up your sleeves and contribute, and to find professional rewards for your hard work.
Yes, we are a division of the Fortune #1 company, Walmart, Inc.
But you'll quickly find that we're a company that wants you to feel comfortable bringing your whole self to work.
A career at Sam's Club is where the world's most complex challenges meet a kinder way of life.
Our mission spreads far beyond the walls of our clubs.
Join us and you'll discover why our company is a world leader in diversity and inclusion, sustainability, and community involvement.
From day one, you'll be empowered and equipped to do the best work of your life.
Are you a hardcore numbers person who would enjoy solving some of business' toughest challenges by illuminating phenomena and opportunity held within one of the world's largest data sets? At Sam's Club, the mammoth scale and volume of our internal data is virtually limitless.
As a Data Scientist, you will create insights that influence how we make decisions that have impact at an unprecedented scale.
You will have the opportunity to do your best work while unlocking vast business opportunity by extracting key insights, using pattern recognition to develop predictive analytics, and translating results into goal-oriented business actions.
Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths.
This isn't analyst work; you'll be leveraging data science methods, in an incredibly dynamic and engaging environment.
How You'll Make An Impact.
Advising on analysis techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization Collaborating with our product teams to gather the right information from our various sources so that you can implement advanced statistical methodologies and design interventions to optimize how our business can best perform Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive) Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy What You'll Bring You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions You have consistently high standards, your passion for quality is inherent in everything that you do You have the courage to fail fast You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose You have a proven ability with statistical methods and advanced modelling techniques You are fluent in marketing metrics and bring expertise in one or more measurement techniques (channel marketing, multitouch attribution, mixed media modeling, incrementality testing, customer journeys, segmentation analysis, or others).
You're experienced with languages used to manipulate data and draw insights from large data sets (e.
g.
, Python, R, SQL, etc.
) You're proficient using database technologies and distributed datastores such as SQL You have experience with visualization tools (Tableau, PowerBI) Minimum Qualifications Option 1:
Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
Option 2:
Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field.
Option 3:
4 years' experience in an analytics or related field.
Preferred Qualifications Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field.
5 years' experience in data science, machine learning, optimization models, or related field.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
3 years' experience using open-source frameworks (for example, scikit learn, tensorflow, torch).
The above information has been designed to indicate the general nature and level of work performed in the role.
It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job.
Benefits & Perks Beyond competitive pay, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
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 2 years' experience in an analytics or related field.
Option 2:
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Option 3:
4 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, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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 2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America Recommended Skills Apache Spark Applied Mathematics Assessments Big Data Business Marketing Consulting Estimated Salary: $20 to $28 per hour based on qualifications.
There's always room to grow, to take on another challenge, to roll up your sleeves and contribute, and to find professional rewards for your hard work.
Yes, we are a division of the Fortune #1 company, Walmart, Inc.
But you'll quickly find that we're a company that wants you to feel comfortable bringing your whole self to work.
A career at Sam's Club is where the world's most complex challenges meet a kinder way of life.
Our mission spreads far beyond the walls of our clubs.
Join us and you'll discover why our company is a world leader in diversity and inclusion, sustainability, and community involvement.
From day one, you'll be empowered and equipped to do the best work of your life.
Are you a hardcore numbers person who would enjoy solving some of business' toughest challenges by illuminating phenomena and opportunity held within one of the world's largest data sets? At Sam's Club, the mammoth scale and volume of our internal data is virtually limitless.
As a Data Scientist, you will create insights that influence how we make decisions that have impact at an unprecedented scale.
You will have the opportunity to do your best work while unlocking vast business opportunity by extracting key insights, using pattern recognition to develop predictive analytics, and translating results into goal-oriented business actions.
Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths.
This isn't analyst work; you'll be leveraging data science methods, in an incredibly dynamic and engaging environment.
How You'll Make An Impact.
Advising on analysis techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization Collaborating with our product teams to gather the right information from our various sources so that you can implement advanced statistical methodologies and design interventions to optimize how our business can best perform Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive) Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy What You'll Bring You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions You have consistently high standards, your passion for quality is inherent in everything that you do You have the courage to fail fast You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose You have a proven ability with statistical methods and advanced modelling techniques You are fluent in marketing metrics and bring expertise in one or more measurement techniques (channel marketing, multitouch attribution, mixed media modeling, incrementality testing, customer journeys, segmentation analysis, or others).
You're experienced with languages used to manipulate data and draw insights from large data sets (e.
g.
, Python, R, SQL, etc.
) You're proficient using database technologies and distributed datastores such as SQL You have experience with visualization tools (Tableau, PowerBI) Minimum Qualifications Option 1:
Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
Option 2:
Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field.
Option 3:
4 years' experience in an analytics or related field.
Preferred Qualifications Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field.
5 years' experience in data science, machine learning, optimization models, or related field.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
3 years' experience using open-source frameworks (for example, scikit learn, tensorflow, torch).
The above information has been designed to indicate the general nature and level of work performed in the role.
It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job.
Benefits & Perks Beyond competitive pay, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
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 2 years' experience in an analytics or related field.
Option 2:
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Option 3:
4 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, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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 2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America Recommended Skills Apache Spark Applied Mathematics Assessments Big Data Business Marketing Consulting Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
