84.51°
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
Join us at 84.51°!
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Lead Data Scientist (G3) P2006
Cincinnati, Chicago
SUMMARY
: We are a community of Data Scientists and Engineers that work to improve the shopping experiences of our customers, both in-store and online. This Lead Data Scientist role requires a unique mix of software engineering and data science skills necessary to create, deploy and maintain computationally efficient optimization implementations, frameworks, and end-to-end solutions. This role requires a strong understanding of math, algorithms, machine learning and data pipelines that will scale across many users and/or large, complex, and diverse data sets. The role is for a Lead Data Scientist on the Enterprise Pricing & Promotions (EPP) team. EPP has a long-term focus to optimize pricing and promotion decisions at Kroger, including regular pricing, temporary price reductions, in-store promotional displays, weekly ad, and the various promotion tactics that our customers use to manage their grocery budgets. The role will support the deployment and maintenance of EPP’s cutting-edge prescriptive solutions that Kroger uses to establish optimal prices and promotions to drive multiple, simultaneous business objectives. RESPONSIBILITIES
: Lead the deployment, automation, and maintenance of cutting-edge Pricing & Promotion solutions that leverage machine learning and optimization techniques Develop and contribute to the Pricing & Promotion core optimization package using modular programming methods Supervise and mentor junior Data Scientists in deploying analytical solutions and their integration into products Build, steward, and maintain production-grade solutions to manage and serve machine learning and optimization models Scale and maintain machine learning and optimization solutions using best practices in DevOps and MLOps Collaborate with 84.51° and Kroger Product and Engineering teams to scale Pricing & Promotion solutions Understand business requirements to manage trade-off across scale, risk, and accuracy to maximize value Adhere to stringent quality assurance and documentation standards (GitHub, Sphinx, Confluence) Drive organizational innovation based on progress being made via academic and industry best practices QUALIFICATIONS, SKILLS, AND EXPERIENCE
: Bachelor’s degree or higher in Computer Science, Operations Research, Applied Statistics, or related field 4+ years of experience using advanced algorithms, programming languages, or technologies 2+ years of experience developing cloud-based software solutions and understanding of design for scalability, performance, and reliability 4+ years of experience in tech consulting, retail or related professional services is preferred Experience developing and deploying solutions using Optimization methods is a plus Strong skills in Python, Spark, and cloud technologies Experience developing software using SDLC best practices, while leveraging CI/CD and MLOps to develop, test, and deploy Experience with technologies such as Azure, Spark, Databricks, Automation tools & MLOPS tools Experience building large-scale algorithmic solutions and deploying within a live production environment Comfort with independent learning of new technologies, and willingness to use unfamiliar tools Ability to work in a collaborative, cross-functional (Product, Engineering, Data Science) environment Strong project management skills and ability to manage multiple, simultaneous priorities when necessary Excellent communication skills, particularly on technical topics Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range $91,000 - $218,750 USD Create a Job Alert Interested in building your career at 84.51° ? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School * Select... Degree * Select... Select... Select... Start date year End date month Select... End date year What is your current permanent address? * What state do you permanently reside in? * Select... Which work location would you prefer? * Chicago, IL New York, NY Portland, OR Location options vary by role and are stated in each job posting. Our Headquarters are in Cincinnati, OH. We also have hubs in Chicago, Deerfield, New York and Portland. Not all roles are open in all locations. We have an in-office expectation for Monday-Thursday with the option to work remote on Fridays (may vary by role) and candidates must live in one of our hub locations or be willing to relocate (relocation assistance is provided). Please select one of the following that applies: * Select... How did you first learn about 84.51° and this position? * Why are you interested in 84.51° and this position? * What knowledge and skills do you bring to 84.51° to enable you for success? * Who is your current employer? * Have you ever been employed by 84.51°? * Select... Are you or have you ever been employed by dunnhumby? * Select... Are you or have you ever been employed by Kroger Co.? * Select... If your current employer is the Kroger Family of Companies, please list what department you are currently in, who your manager is, and state whether you've informed your manager of your application or not.Please input N/A if you do not currently work for Kroger. Are you bound by any commitments, contracts or agreements with your current or former employer(s) that might affect your employment with 84.51°? * Select... Are you legally authorized to work in the U.S.? Proof of eligibility will be required before you can be employed. * Select... Will you now or in the future require sponsorship for employment visa status (e.g. H1B status)? * Select... If you currently hold a visa, what type do you hold? * Select... Individuals who have questions about this Applicant Notice should contact 84.51° by using the Contact Us link at the bottom of our homepage atwww.8451.com . The essential functions of this position have been listed in the job posting. Can you perform the essential functions of the position for which you are applying as they are listed in the job posting with or without reasonable accommodation? * Select... 84.51° Demographic Questions
Together, we are stronger and can achieve more
At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.
We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.
Your responses will be used (in aggregate only) to help us identifyareas of improvement in our process.
Your responses will not be associated with your specific application and will not in any way be used in the hiring decision.
Which ethnicities describe you? Select all that apply. * Select... How do you currently describe your gender identity? * Select... Do you consider yourself a member of the Lesbian, Gay or Bisexual (LGB) community? * Select... Do you identify as a military veteran or service member? * Select...
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: We are a community of Data Scientists and Engineers that work to improve the shopping experiences of our customers, both in-store and online. This Lead Data Scientist role requires a unique mix of software engineering and data science skills necessary to create, deploy and maintain computationally efficient optimization implementations, frameworks, and end-to-end solutions. This role requires a strong understanding of math, algorithms, machine learning and data pipelines that will scale across many users and/or large, complex, and diverse data sets. The role is for a Lead Data Scientist on the Enterprise Pricing & Promotions (EPP) team. EPP has a long-term focus to optimize pricing and promotion decisions at Kroger, including regular pricing, temporary price reductions, in-store promotional displays, weekly ad, and the various promotion tactics that our customers use to manage their grocery budgets. The role will support the deployment and maintenance of EPP’s cutting-edge prescriptive solutions that Kroger uses to establish optimal prices and promotions to drive multiple, simultaneous business objectives. RESPONSIBILITIES
: Lead the deployment, automation, and maintenance of cutting-edge Pricing & Promotion solutions that leverage machine learning and optimization techniques Develop and contribute to the Pricing & Promotion core optimization package using modular programming methods Supervise and mentor junior Data Scientists in deploying analytical solutions and their integration into products Build, steward, and maintain production-grade solutions to manage and serve machine learning and optimization models Scale and maintain machine learning and optimization solutions using best practices in DevOps and MLOps Collaborate with 84.51° and Kroger Product and Engineering teams to scale Pricing & Promotion solutions Understand business requirements to manage trade-off across scale, risk, and accuracy to maximize value Adhere to stringent quality assurance and documentation standards (GitHub, Sphinx, Confluence) Drive organizational innovation based on progress being made via academic and industry best practices QUALIFICATIONS, SKILLS, AND EXPERIENCE
: Bachelor’s degree or higher in Computer Science, Operations Research, Applied Statistics, or related field 4+ years of experience using advanced algorithms, programming languages, or technologies 2+ years of experience developing cloud-based software solutions and understanding of design for scalability, performance, and reliability 4+ years of experience in tech consulting, retail or related professional services is preferred Experience developing and deploying solutions using Optimization methods is a plus Strong skills in Python, Spark, and cloud technologies Experience developing software using SDLC best practices, while leveraging CI/CD and MLOps to develop, test, and deploy Experience with technologies such as Azure, Spark, Databricks, Automation tools & MLOPS tools Experience building large-scale algorithmic solutions and deploying within a live production environment Comfort with independent learning of new technologies, and willingness to use unfamiliar tools Ability to work in a collaborative, cross-functional (Product, Engineering, Data Science) environment Strong project management skills and ability to manage multiple, simultaneous priorities when necessary Excellent communication skills, particularly on technical topics Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range $91,000 - $218,750 USD Create a Job Alert Interested in building your career at 84.51° ? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School * Select... Degree * Select... Select... Select... Start date year End date month Select... End date year What is your current permanent address? * What state do you permanently reside in? * Select... Which work location would you prefer? * Chicago, IL New York, NY Portland, OR Location options vary by role and are stated in each job posting. Our Headquarters are in Cincinnati, OH. We also have hubs in Chicago, Deerfield, New York and Portland. Not all roles are open in all locations. We have an in-office expectation for Monday-Thursday with the option to work remote on Fridays (may vary by role) and candidates must live in one of our hub locations or be willing to relocate (relocation assistance is provided). Please select one of the following that applies: * Select... How did you first learn about 84.51° and this position? * Why are you interested in 84.51° and this position? * What knowledge and skills do you bring to 84.51° to enable you for success? * Who is your current employer? * Have you ever been employed by 84.51°? * Select... Are you or have you ever been employed by dunnhumby? * Select... Are you or have you ever been employed by Kroger Co.? * Select... If your current employer is the Kroger Family of Companies, please list what department you are currently in, who your manager is, and state whether you've informed your manager of your application or not.Please input N/A if you do not currently work for Kroger. Are you bound by any commitments, contracts or agreements with your current or former employer(s) that might affect your employment with 84.51°? * Select... Are you legally authorized to work in the U.S.? Proof of eligibility will be required before you can be employed. * Select... Will you now or in the future require sponsorship for employment visa status (e.g. H1B status)? * Select... If you currently hold a visa, what type do you hold? * Select... Individuals who have questions about this Applicant Notice should contact 84.51° by using the Contact Us link at the bottom of our homepage atwww.8451.com . The essential functions of this position have been listed in the job posting. Can you perform the essential functions of the position for which you are applying as they are listed in the job posting with or without reasonable accommodation? * Select... 84.51° Demographic Questions
Together, we are stronger and can achieve more
At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.
We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.
Your responses will be used (in aggregate only) to help us identifyareas of improvement in our process.
Your responses will not be associated with your specific application and will not in any way be used in the hiring decision.
Which ethnicities describe you? Select all that apply. * Select... How do you currently describe your gender identity? * Select... Do you consider yourself a member of the Lesbian, Gay or Bisexual (LGB) community? * Select... Do you identify as a military veteran or service member? * Select...
#J-18808-Ljbffr