One of our direct clients is urgently looking for a Data Scientist @ San Bruno CA .TITLE: Data ScientistLOCATION: San Bruno, CADuration: 6 to 12+ MonthsDescription:Role Specific Responsibilities:Collaborate with the Walmart Connect Sales and Marketing teams for the development, execution, and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities.Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans, and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders.Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys.Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis, and translating data into meaningful insights and actions.Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what for Walmart Connect advertisers.Support the development of executive-level presentations and perspectives.Identify gaps and opportunities for improving existing data sources and engage with broader Walmart teams to acquire and summarize these sources within the Walmart Connect environment.Support the Sales/Marketing teams in managing day-to-day operating activities and special projects.Facilitate the evangelization of the teams charters, plans, and processes across the Sales & Marketing organization.Job Duties:Design and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality, and predictive capabilities. Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.Minimum Qualifications:PhD in Computer Science, Statistics or related field; OR a Masters degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.Knowledge of one of the scripting languages such as Python or Perl.Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).Working knowledge of Relational Data Base Systems and SQL.Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.Excellent communications and organizational skills.Prior experience in this area with eCommerce or Online Retail would be a plus.Additional Requirements:MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments.Strong programming skills in R/Python.Must have hands-on data analytics experience.Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning).Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint).Experience in developing and presenting strategic, action-oriented oral & written communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience.#J-18808-Ljbffr

One of our direct client is urgently looking for a Data Scientist@ Sunnyvale- CA
TITLE: Data Scientist
LOCATION: Sunnyvale, CA.
Duration: 6 to 12+ Months
Description
The Marketing Decision Science team focuses on developing data-driven models and services to bring high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.
Youll sweep us off our feet if.
Youre experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, NLP, and Reinforcement Learning.
You have strong implementation experience with at least one programming language (Python, R, Java, Scala, etc.).
You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platforms.
You have strong written and oral communication skills.
You have a Ph.D. in computer science, statistics, or other related fields with an emphasis on Machine Learning or a Masters degree with 2+ years of data science experience.
What youll do
Build machine learning and statistical models to predict or estimate key signals that are used to optimize marketing campaign performance, such as search engine marketing, customer targeting.
Run large-scale statistical A/B tests to evaluate the performance of machine learning and statistical models in SEM applications.
Process complicated and large-scale datasets on distributed computing platforms using queries, extract insights from data, predict future trends, and optimize business metrics.
Build compelling data visualizations and interactive dashboards for monitoring.
Communicate new algorithm suggestions, performance results and business insights to both technical and business teams, internally and externally.
What youll bring
Experience in tackling prediction problems: exploring data, building models, and analyzing performance.
Enthusiasm for trying out new algorithms, new data features, new problem statements, new ideas you read in a paper: an always-learning mentality.
Proactive mindset: going beyond a specific task to thinking about any improvements that can help the team.
Communication skills the ability to present insights to others in the organization.
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. Thats what we do at Walmart Global Tech. Were a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the worlds largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Were virtual
Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. Well collaborate in person at a regular cadence and with purpose.
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.
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One of our direct clients is urgently looking for a Data Scientist @ San Bruno, CA
TITLE: Data Scientist - Marketing/Advertising
LOCATION: San Bruno, CA
Duration: 6 to 12+ Months
Client inputs
Marketing Mix model or media experience
Strong Python programming
Good statistical background
PhD degree preferred (not must)
Past experience with Media Analytics company is desired
A/B testing a plus
Description:
We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc).
Responsibilities:
Perform hands-on modeling and complex analyses using Python, SQL and/or R.
Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes.
Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO.
Present media mix insights to different levels of senior clients.
Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems.
Partner with cross-functional teams to streamline data science solutions.
Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization.
Minimum Qualifications:
Master's degree in statistics, economics, operations research, engineering, or related field.
6+ years of industry experience in data science, measurement, marketing strategy & analytics.
Strong communication skills to ‘tell a story’ that provides insight into the business.
Proficient coding skills (SQL/Python/R) and database knowledge.
Extensive experience with predictive modeling algorithms.
Strong project management skills, including managing technical resources and multiple priorities & milestones.
You have a passion for working in a fast-paced agile environment.
A collaborative mindset and sense of curiosity.
Preferred Qualifications:
PhD degree in Statistics, Economics, Operations Research, or related field.
Experienced in building market mix and multi-touch attribution models.
Experience with advertising, measurement, and/or digital marketing analytics.
Experience with advertising technology platforms: Ad servers, DSPs, DMPs, etc.
Advanced programming skills with experience of creating Python modules.
Experience with A/B and Multivariate test design and implementation.

#J-18808-Ljbffr

One of our direct clients is urgently looking for a Data Scientist @ San Bruno CA .
TITLE: Data Scientist
LOCATION: San Bruno, CA
Duration: 6 to 12+ Months
Description:
Role Specific Responsibilities:
Collaborate with the Walmart Connect Sales and Marketing teams for the development, execution, and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities.
Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans, and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders.
Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys.
Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis, and translating data into meaningful insights and actions.
Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what for Walmart Connect advertisers.
Support the development of executive-level presentations and perspectives.
Identify gaps and opportunities for improving existing data sources and engage with broader Walmart teams to acquire and summarize these sources within the Walmart Connect environment.
Support the Sales/Marketing teams in managing day-to-day operating activities and special projects.
Facilitate the evangelization of the team’s charters, plans, and processes across the Sales & Marketing organization.
Job Duties:
Design and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality, and predictive capabilities. Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.
Minimum Qualifications:
PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.
Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.
Knowledge of one of the scripting languages such as Python or Perl.
Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.
Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).
Working knowledge of Relational Data Base Systems and SQL.
Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
Excellent communications and organizational skills.
Prior experience in this area with eCommerce or Online Retail would be a plus.
Additional Requirements:
MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments.
Strong programming skills in R/Python.
Must have hands-on data analytics experience.
Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning).
Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint).
Experience in developing and presenting strategic, action-oriented oral & written communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience.

#J-18808-Ljbffr

One of our direct clients is urgently looking for a Data Scientist @ San Bruno, CATITLE: Data Scientist - Marketing/AdvertisingLOCATION: San Bruno, CADuration: 6 to 12+ MonthsClient inputs<ul><li>Marketing Mix model or media experience</li><li>Strong Python programming</li><li>Good statistical background</li><li>PhD degree preferred (not must)</li><li>Past experience with Media Analytics company is desired</li><li>A/B testing a plus</li></ul>Description:We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc).Responsibilities:<ol><li>Perform hands-on modeling and complex analyses using Python, SQL and/or R.</li><li>Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes.</li><li>Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO.</li><li>Present media mix insights to different levels of senior clients.</li><li>Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems.</li><li>Partner with cross-functional teams to streamline data science solutions.</li><li>Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization.</li></ol>Minimum Qualifications:<ul><li>Master's degree in statistics, economics, operations research, engineering, or related field.</li><li>6+ years of industry experience in data science, measurement, marketing strategy & analytics.</li><li>Strong communication skills to ‘tell a story’ that provides insight into the business.</li><li>Proficient coding skills (SQL/Python/R) and database knowledge.</li><li>Extensive experience with predictive modeling algorithms.</li><li>Strong project management skills, including managing technical resources and multiple priorities & milestones.</li><li>You have a passion for working in a fast-paced agile environment.</li><li>A collaborative mindset and sense of curiosity.</li></ul>Preferred Qualifications:<ul><li>PhD degree in Statistics, Economics, Operations Research, or related field.</li><li>Experienced in building market mix and multi-touch attribution models.</li><li>Experience with advertising, measurement, and/or digital marketing analytics.</li><li>Experience with advertising technology platforms: Ad servers, DSPs, DMPs, etc.</li><li>Advanced programming skills with experience of creating Python modules.</li><li>Experience with A/B and Multivariate test design and implementation.</li></ul>
#J-18808-Ljbffr

One of our direct clients is urgently looking for a Data Scientist @ San Bruno CA.TITLE: Data ScientistLOCATION: San Bruno, CA Duration: 6 to 12+ MonthsDescription:Role Specific Responsibilities:<ol><li>Collaborate with the Walmart Connect Sales and Marketing teams for the development, execution, and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities.</li><li>Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans, and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders.</li><li>Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys.</li><li>Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis, and translating data into meaningful insights and actions.</li><li>Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what for Walmart Connect advertisers.</li><li>Support the development of executive-level presentations and perspectives.</li><li>Identify gaps and opportunities for improving existing data sources and engage with broader Walmart teams to acquire and summarize these sources within the Walmart Connect environment.</li><li>Support the Sales/Marketing teams in managing day-to-day operating activities and special projects.</li><li>Facilitate the evangelization of the team’s charters, plans, and processes across the Sales & Marketing organization.</li></ol>Job Duties:Design and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality, and predictive capabilities. Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.Minimum Qualifications:<ol><li>PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.</li><li>Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.</li><li>Knowledge of one of the scripting languages such as Python or Perl.</li><li>Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.</li><li>Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).</li><li>Working knowledge of Relational Data Base Systems and SQL.</li><li>Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.</li><li>Excellent communications and organizational skills.</li><li>Prior experience in this area with eCommerce or Online Retail would be a plus.</li></ol>Additional Requirements:<ol><li>MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments.</li><li>Strong programming skills in R/Python.</li><li>Must have hands-on data analytics experience.</li><li>Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning).</li><li>Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint).</li><li>Experience in developing and presenting strategic, action-oriented oral & written communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience.</li></ol>
#J-18808-Ljbffr

One of our direct client is urgently looking for a Data Scientist@ Sunnyvale- CATITLE: Data ScientistLOCATION: Sunnyvale, CA.Duration: 6 to 12+ MonthsDescriptionThe Marketing Decision Science team focuses on developing data-driven models and services to bring high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.You’ll sweep us off our feet if…. <ol><li>You’re experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, NLP, and Reinforcement Learning.</li><li>You have strong implementation experience with at least one programming language (Python, R, Java, Scala, etc.).</li><li>You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platforms.</li><li>You have strong written and oral communication skills.</li><li>You have a Ph.D. in computer science, statistics, or other related fields with an emphasis on Machine Learning or a Master’s degree with 2+ years of data science experience.</li></ol>What you’ll do…<ol><li>Build machine learning and statistical models to predict or estimate key signals that are used to optimize marketing campaign performance, such as search engine marketing, customer targeting.</li><li>Run large-scale statistical A/B tests to evaluate the performance of machine learning and statistical models in SEM applications.</li><li>Process complicated and large-scale datasets on distributed computing platforms using queries, extract insights from data, predict future trends, and optimize business metrics.</li><li>Build compelling data visualizations and interactive dashboards for monitoring.</li><li>Communicate new algorithm suggestions, performance results and business insights to both technical and business teams, internally and externally.</li></ol>What you’ll bring…<ol><li>Experience in tackling prediction problems: exploring data, building models, and analyzing performance.</li><li>Enthusiasm for trying out new algorithms, new data features, new problem statements, new ideas you read in a paper: an always-learning mentality.</li><li>Proactive mindset: going beyond a specific task to thinking about any improvements that can help the team.</li><li>Communication skills – the ability to present insights to others in the organization.</li></ol>About Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.We’re virtualWorking virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We’ll collaborate in person at a regular cadence and with purpose.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.
#J-18808-Ljbffr

<div>TITLE: Data Scientist / Analyst (Marketing Mix Modelling) LOCATION: San Bruno, CA or Hoboken, NJ, Bentonville, AR or Chicago, IL Rate: DOE<h3>MUST SKILLS</h3><ul><li>Senior level experience</li><li>Python programming - Expert</li><li>Experience in Marketing Mix Modelling (Media or marketing or advertising experience domain) is a MUST</li><li>Good experience in SQL</li><li>Experience in data science</li></ul><h3>Responsibilities</h3><ul><li>Perform hands-on coding to retrieve and analyze large datasets using Python and SQL</li><li>Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders</li><li>Manage and streamline data extraction processes with great attention to detail</li><li>Assess the potential usefulness, validity, and rigor of new data sources</li><li>Work with cross-functional teams to ensure high quality of the data</li><li>Build hands-on media mix models to connect the impact of marketing tactics with business short-term and long-term outcomes</li><li>Run optimization and simulation scenarios to help provide marketing investment and allocation recommendations to stakeholders</li><li>Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems</li></ul><h3>Minimum Qualifications</h3><ul><li>Master's degree in statistics, economics, operations research, engineering, or related field</li><li>4+ years of experience in data science, MMM, measurement, marketing strategy & analytics</li><li>Proficient coding skills (Python/SQL) and relational database knowledge and knowledge of Tableau</li><li>Experience in integrating, structuring, and analyzing large amounts of data from diverse sources</li><li>Extensive experience with predictive modeling algorithms</li><li>Strong project management skills and attention-to-detail documentation skills</li><li>Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the business</li><li>You have a passion for working in a fast-paced agile environment</li><li>A collaborative mindset and sense of curiosity</li></ul><h3>Preferred Qualifications</h3><ul><li>PhD degree in Statistics, Economics, Operations Research, or related field</li><li>Experienced in building market mix and multi-touch attribution models</li><li>Experience with advertising, measurement, and/or digital marketing analytics</li><li>Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.</li></ul></div>
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