84.51˚ · 9 hours ago
Manager, Data Science , Client Consulting(P1565)
Cincinnati, OH
Full-time
Onsite
Mid, Senior Level
$121K/yr - $201K/yr
4+ years exp84.51° is a retail data science, insights and media company. As a Manager of Data Science, you will lead a team of data scientists, partnering with clients and stakeholders to develop actionable insights and improve media storytelling capabilities.
ConsultingManagement Consulting
No H1B
Responsibilities
Manage and develop a team of Data Scientists who partner with delivery consultants and insights account executives to develop actionable, forward-looking analyses for our partners
Independently own and execute custom insights and media analysis for CPG clients
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)
Assist in storytelling and insights delivery to clients and being a key partner to account managers and sales teams
Proactively drive continuous improvement in the form of more automated processes, better methodology, and data visualization that leads to clearer, more actionable insights
Develop and remove barriers for your team members
Lead and manage projects, tasks, and stakeholders to ensure that projects are delivered on time, within budget and to brief specification
Collaborate on data discovery for new/existing data (internal, Kroger, 3rd party, etc.), including data queries/analysis using various tools (PySpark or Python preferred) 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 manage the development of best practice and knowledge management
Champion the capture and sharing of knowledge across the data science community
Qualification
Required
Bachelor's degree in mathematics, statistics, computer science, economics, or similar discipline
4+ years of experience in extracting insights from large databases, translating insights into actionable solutions and presenting findings and recommendations to clients or stakeholders
4+ years of experience in analytics across ad technology, digital media and advertising
4+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities
4+ 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
Demonstrated experience developing junior team members and removing barriers for your team
Proficient in technology stack. Our technology stack includes – Azure, Databricks, Python, Spark, Github, Power BI Snowflake
Technical fluency- skilled at translating highly technical problems to non-technical audiences
Data visualization skills, consulting experience, 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 are required
Strong analytical, problem-solving, and decision-making skills
Natural curiosity that welcomes and embraces change and willingness to try new things and to fail
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)
Preferred
2+ years of experience managing and developing a team of data scientists preferred but not required
Benefits
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: 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.
Company
84.51˚
84.51° helps companies create sustainable growth by putting the customer at the center of everything.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Mario DiMercurio
Director, Product - Platform Components
Company data provided by crunchbase