frog · 1 month ago
Customer Analytics Management Consultant
NYC Metro Area
Full-time
Hybrid
Senior Level
5+ years expfrog, part of Capgemini, is seeking an experienced Data Scientist to join their team. The role involves designing and implementing data models, machine learning algorithms, and statistical analyses to drive predictive actions and collaborate with cross-functional teams to develop data-driven solutions.
AutomotiveBrand MarketingConsultingConsumer GoodsInnovation ManagementLoyalty ProgramsMarketingRetailService IndustrySocial Impact
Hiring Manager
Caitlin Campelo
Responsibilities
Design, develop, and deploy machine learning models (e.g., for classification, regression, clustering, NLP) and statistical models to address business challenges and client needs
Conduct in-depth exploratory data analysis on large, complex datasets (structured and unstructured) to identify significant patterns, trends, and opportunities
Develop and test hypotheses using rigorous statistical methods
Stay abreast of and apply cutting-edge techniques in machine learning, AI, and statistical modeling
Translate complex analytical findings and model outputs into clear, actionable insights and compelling narratives for diverse audiences, including technical and non-technical stakeholders
Create effective data visualizations and presentations to communicate results and recommendations
Collaborate with client-facing teams to understand requirements and ensure data science solutions align with strategic goals
Partner with data engineers, data analysts, designers, and strategists to integrate data science solutions into broader project deliverables
Contribute to the innovation of new data-driven products, services, and methodologies within frog
Actively participate in knowledge sharing and contribute to the growth of the data science practice
Qualification
Required
5+ years of hands-on experience in a Data Scientist role, applying machine learning techniques to solve real-world problems
Strong proficiency in programming languages commonly used in data science, such as Python or R
Expertise in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras)
Solid understanding of statistical analysis, hypothesis testing, experimental design, and predictive modeling
Experience with SQL and working with large datasets and databases – relational, NoSQL, and knowledge graph (Neo4J)
Proven ability to manipulate, process, and extract value from large, disconnected datasets
Excellent problem-solving, analytical, and critical thinking skills
Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences
Preferred
Bachelor or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field
Experience with big data technologies (e.g., Spark, Hadoop)
Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data science/ML services
Experience in deploying machine learning models into production
Knowledge of deep learning techniques and their applications
Experience working in a design-centric or consulting environment
A portfolio of data science projects or contributions to open-source projects
Company
frog
frog is a global creative consultancy, part of Capgemini Invent.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2021-06-24Acquired
Leadership Team
Sean Rhodes
Vice President
Company data provided by crunchbase