What are the responsibilities and job description for the Senior Data Scientist position at LatentView Analytics?
LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.
Job Description:
We are seeking a talented Marketing Data Scientist to join our team. The ideal candidate will
be responsible for building, optimizing and automating Market Mix Models (MMM) to drive
marketing strategy and decision-making. They will prepare and analyze large volumes of
data to identify trends, develop insights, and make actionable recommendations. The
successful candidate will have a strong background in statistical analysis, data preparation,
and marketing functional knowledge.
Responsibilities:
- Develop and implement MLOps architecture for Market Mix Modelling (MMM) projects.
- Automate and validate data ingestion process for the model.
- Completely automate the entire MMM model workflow from data ingestion to data
- reporting.
- Collaborate with cross-functional teams to ensure seamless data flow and model deployment.
- Create and maintain comprehensive documentation for MLOps processes and models.
- Develop automated reports on marketing performance, including key metrics and trends.
- Monitor and track the effectiveness of marketing campaigns and make recommendations for adjustments as needed.
Primary skills: Market Mix Modelling concepts, Python, MLOps, Databricks, Stakeholder Management
Secondary skills: SQL, Marketing Analytics, Communication skills
At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.
