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Data marketing scientist

Brindisi
Spoki
Pubblicato il 18 luglio
Descrizione

We require on-site presence at our San Vito dei Normanni (BR) office one week every 6 weeks of remote work.

Spoki is dedicated to fostering authentic and genuine relationships, emphasizing the value of personal and trusting connections between businesses and their clients. We provide businesses with a direct, effective, and personal communication channel to help them build these crucial relationships. Our vision is a future where conversations are the primary mode of interaction—fast, efficient, and direct—for everything from sales to customer care, with artificial intelligence playing a key role. Our mission is to empower millions of companies to enhance their customer relations, becoming the ultimate enabler for marketing, sales, and customer support.

Responsibilities include:

* Partnering with stakeholders to understand business challenges, translating them into questions, and identifying effective data and modeling approaches.
* Sourcing, cleaning, and transforming large volumes of data for analysis and modeling.
* Designing, building, validating, and deploying machine learning models to solve business problems.
* Designing and analyzing A/B tests and experiments to measure impact.
* Communicating complex findings clearly to technical and non-technical audiences, creating visualizations and dashboards.
* Collaborating with engineers to deploy models into production, monitor, and maintain them.
* Developing predictive models for outcomes like customer churn, engagement, LTV, and campaign success.
* Staying current with advancements in data science, machine learning, and AI.

Qualifications:

* Master's or PhD in a quantitative field or equivalent experience.
* 3+ years in a data science or analytics role.
* Strong programming skills in Python and data science libraries.
* Proficiency in SQL/NoSQL for large datasets.
* Solid understanding of machine learning concepts and algorithms.
* Excellent communication skills for explaining technical concepts.
* Experience with cloud platforms (AWS, GCP, Azure) and ML deployment tools.

Contract details: Permanent, full-time position with access to cutting-edge technologies. Practical testing phase includes coding challenges or projects.

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