84.51˚
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Senior Data Scientist (P3505)
role at
84.51°
Overview 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°!
Responsibilities
Independently own and execute custom insights and media analysis for CPG clients.
Partner with lead data scientists, delivery consultants, and insights account executives to develop actionable, forward-looking analyses for our partners.
Drive steady, continuous improvement in our insights offerings and media storytelling capabilities.
Possess deep knowledge and understanding of your data domain/asset.
Apply statistical and analytical techniques to large datasets to uncover insights that shape better business decisions.
Own connection and relationship back to source stakeholders/vendor (internal and/or external).
Collaborate on data discovery for new/existing data (internal, Kroger, 3rd party, etc.), including data queries/analysis using various tools (e.g. SQL, PySpark, BigQuery, etc.) in partnership with data science team members to determine usability.
Manage projects from beginning to end encompassing data gathering, applied methodology, insight generation and delivery to clients.
Proactively drive continuous improvement in the form of more automated processes, better methodology, and data visualization that leads to clearer, more actionable insights.
Proactively manage the development of best practice and knowledge management. Champion the capture and sharing of knowledge across the data science community.
Qualifications, Skills And Experience
Bachelor's degree in mathematics, statistics, computer science, economics, or similar discipline
Proficient in technology stack. Our technology stack includes – Azure, Python, Spark, Github, Power BI Snowflake
2+ years of experience in extracting insights from large databases, translating insights into actionable solutions and presenting findings and recommendations to clients or stakeholders
2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities
2+ years of experience in tech consulting, retail, media, or related professional services
Demonstrated experience in solving vague and unstructured problems, using data science to create clear business facing deliverables
Technical fluency- skilled at translating highly technical problems to non-technical audiences
Data visualization skills and ability to tell a story using data
Ability to balance between ideal and practical to drive efficient, effective business value
Strong business acumen and passion for commercial success
High level of independence; ability to make time-sensitive decisions rapidly and solve urgent problems without escalation
Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary
Strong emotional intelligence and communication skills including excellent verbal, written, presentation and consultation skills
Strong analytical, problem-solving, and decision-making skills
Natural curiosity that welcomes and embraces change and willingness to try new things and to fail
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.
Benefits include health, wealth, and happiness offerings such as medical, dental, vision plans; 401(k) with Roth option and matching; Health Savings Account options; hybrid work environment; generous paid time off including vacation, wellness days, holidays, and family leave.
Pay Range:
$97,000—$166,750 USD
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
Referrals increase your chances of interviewing at 84.51° by 2x
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Senior Data Scientist (P3505)
role at
84.51°
Overview 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°!
Responsibilities
Independently own and execute custom insights and media analysis for CPG clients.
Partner with lead data scientists, delivery consultants, and insights account executives to develop actionable, forward-looking analyses for our partners.
Drive steady, continuous improvement in our insights offerings and media storytelling capabilities.
Possess deep knowledge and understanding of your data domain/asset.
Apply statistical and analytical techniques to large datasets to uncover insights that shape better business decisions.
Own connection and relationship back to source stakeholders/vendor (internal and/or external).
Collaborate on data discovery for new/existing data (internal, Kroger, 3rd party, etc.), including data queries/analysis using various tools (e.g. SQL, PySpark, BigQuery, etc.) in partnership with data science team members to determine usability.
Manage projects from beginning to end encompassing data gathering, applied methodology, insight generation and delivery to clients.
Proactively drive continuous improvement in the form of more automated processes, better methodology, and data visualization that leads to clearer, more actionable insights.
Proactively manage the development of best practice and knowledge management. Champion the capture and sharing of knowledge across the data science community.
Qualifications, Skills And Experience
Bachelor's degree in mathematics, statistics, computer science, economics, or similar discipline
Proficient in technology stack. Our technology stack includes – Azure, Python, Spark, Github, Power BI Snowflake
2+ years of experience in extracting insights from large databases, translating insights into actionable solutions and presenting findings and recommendations to clients or stakeholders
2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities
2+ years of experience in tech consulting, retail, media, or related professional services
Demonstrated experience in solving vague and unstructured problems, using data science to create clear business facing deliverables
Technical fluency- skilled at translating highly technical problems to non-technical audiences
Data visualization skills and ability to tell a story using data
Ability to balance between ideal and practical to drive efficient, effective business value
Strong business acumen and passion for commercial success
High level of independence; ability to make time-sensitive decisions rapidly and solve urgent problems without escalation
Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary
Strong emotional intelligence and communication skills including excellent verbal, written, presentation and consultation skills
Strong analytical, problem-solving, and decision-making skills
Natural curiosity that welcomes and embraces change and willingness to try new things and to fail
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.
Benefits include health, wealth, and happiness offerings such as medical, dental, vision plans; 401(k) with Roth option and matching; Health Savings Account options; hybrid work environment; generous paid time off including vacation, wellness days, holidays, and family leave.
Pay Range:
$97,000—$166,750 USD
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
Referrals increase your chances of interviewing at 84.51° by 2x
#J-18808-Ljbffr