Senior Associate Data Science - CSA

Agency : PivotRoots

Job Description :

We are seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth.

Responsibilities :

Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction

Support the development of customer segmentation models using clustering techniques and behavioural analysis

Assist in building and maintaining survival models to analyze customer lifecycle events

Work with large-scale datasets using BigQuery and Snowflake

Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock

Help transform model insights into actionable business recommendations

Collaborate with analytics and activation teams to implement model outputs

Present analyses to stakeholders in clear, actionable formats

Qualifications :

Bachelor's or master's degree in Statistics, Mathematics, Computer Science, or related quantitative field

2-4 years' experience in applied data science, preferably in marketing / retail

Experience in developing and implementing machine learning models

Strong understanding of statistical concepts and experimental design

Ability to communicate technical concepts to non-technical audiences

Familiarity with agile development methodologies

Technical Skills :

Advanced proficiency in :

SQL and data warehouses (BigQuery, Snowflake)

Python for statistical modeling

Machine learning frameworks (scikit-learn, TensorFlow)

Statistical analysis and hypothesis testing

Data visualization tools (Matplotlib, Seaborn)

Version control systems (Git)

Understanding of Google Cloud Function and Cloud Run

Experience with :

Customer lifetime value modeling

RFM analysis and customer segmentation

Survival analysis and hazard modeling

A / B testing and causal inference

Feature engineering and selection

Model validation and monitoring

Cloud computing platforms (GCP / AWS / Azure)

Key Projects & Deliverables :

Support development and maintenance of CLTV models

Contribute to customer segmentation models incorporating behavioral and transactional data

Implement survival models to predict customer churn

Support the development of attribution models for marketing effectiveness

Help develop recommendation engines for personalized customer experiences

Assist in creating automated reporting and monitoring systems

Soft Skills

Strong analytical and problem-solving abilities

Good communication and presentation skills

Business acumen

Collaborative team player

Strong organizational skills

Ability to translate business problems into analytical solutions

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.

Contract Type : Permanent

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.

Skills Required

Hypothesis Testing, snowflake , Sql, Tensorflow, BigQuery, Monitoring, model validation, Survival Analysis, causal inference , Gcp, Git, Matplotlib, Statistical Analysis, Customer Segmentation, Seaborn, Aws, Python, Azure