G2 – Senior Data Scientist, Insights/Personalization Loyalty & Strategy
We are looking for a skilled data scientist ready to be a key contributor in Integrated Campaigns Analytics. The person in this role is primarily focused on delivering integrated campaign analytics, along with developing and automating the measurement solutions.
Effectively manage campaign targeting and measurement across Integrated Campaigns
Interpreting results and developing actionable recommendations from robust 1st party data to build relevant customer stories for clients
Identifying opportunities for standardization & automation of existing measurement solutions and processes to enable 84.51° to realize the maximum potential from our teams.
Contributing to and maintaining the Integrated Measurement Github repository
Partnering with account management team to help own the analytic relationship with CPG clients
Ensuring high levels of client engagement and the successful delivery of campaign measurement
Effectively managing projects, tasks and stakeholders to ensure that projects are delivered on time, within budget and to brief specification
Challenging and improving 84.51° analytical capabilities/products
Quality Assurance of own code and that of team members to ensure the highest quality work is being delivered to our clients.
Following best practice in disk space management to help ensure that disk space is not fully utilized such that all deliverables across the business can be delivered on time.
Bachelor's degree in mathematics, statistics, analytics, data science, or related discipline
2+ years of experience in consulting or professional services
2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients
2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
Experience querying data from relational databases using SQL.
Experience using R, Python, or other similar statistical software to develop analytical solutions.
Experience with data wrangling, data cleaning and prep, dimensionality reduction.
Experience with Big Data concepts, tools, and architecture (e.g. Hadoop, Pig, Hive, Spark, Sparkling Water).
Ability to create computationally efficient solutions.
Strong academic background in mathematics, statistics, computer science, economics, or similar discipline.
Data visualization skills and ability to present technical solutions to non-technical audience.
Strong interpersonal and communication skills.
Strong analytical, creative problem-solving and decision making skills
Strong business acumen; grocery and/or retail experience is a plus.
Passionate about data, analysis and insights.
Natural curiosity that welcomes and embraces change and willingness to try new things and to fail.
Ability to work in a highly collaborative environment.