Data Scientist

Job Description: Data Scientist Company: Spoki Location: San Vito dei Normanni, Italy (Hybrid) *we require on-site presence at our San Vito dei Normanni (BR) office one week every 6 weeks of remote work* Salary Range: €30,000 - €40,000 Introduction to Spoki 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. Key Responsibilities Problem Solving & Analysis: Partner with stakeholders to understand business challenges, translate them into quantitative questions, and identify the most effective data and modeling approaches to answer them. Data Exploration & Preparation: Source, clean, and transform large volumes of structured and unstructured data from various sources to prepare it for analysis and modeling. Modeling & Machine Learning: Design, build, validate, and deploy machine learning models to solve business problems. Experimentation: Design and analyze A/B tests and other experiments to measure the impact of new features, products, and strategies. Insight & Communication: Communicate complex findings and the "story" behind the data in a clear, concise, and compelling manner to both technical and non-technical audiences. Create visualizations and dashboards to democratize data insights. Production & MLOps: Collaborate with data and software engineers to deploy models into production environments, monitor their performance, and maintain them over time. Develop Predictive Models: Design, build, and deploy machine learning models to predict key business outcomes like customer churn, user engagement, lifetime value (LTV), and campaign success rates. Innovation & Research: Stay current with the latest advancements in data science, machine learning, and AI, and actively explore new tools and techniques to improve our capabilities. Required Qualifications Education: Master's or PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or equivalent practical experience. Experience: 3 years of hands-on experience in a data science or analytics role. Programming Proficiency: Strong programming skills in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn). SQL/NoSQL Expertise: Advanced proficiency in SQL/NoSQL for querying and manipulating large datasets. Machine Learning Fundamentals: Solid understanding of core machine learning concepts and algorithms (e.g., linear/logistic regression, decision trees, clustering, classification, gradient boosting). Statistical Knowledge: Strong foundation in statistical methods, hypothesis testing, and experimental design. Communication Skills: Excellent verbal and written communication skills, with a proven ability to explain technical concepts to non-technical stakeholders. Specialized Expertise: Experience in one or more of the following areas: Deep Learning (TensorFlow, PyTorch), Natural Language Processing (NLP). Preferred Qualifications (Nice-to-Haves) Big Data Technologies: Experience with distributed computing frameworks like Spark (PySpark). Cloud Platforms: Hands-on experience with a major cloud provider (AWS, GCP, or Azure) and their machine learning services (e.g., Vertex AI, BedRock). MLOps & Deployment: Experience with model deployment, containerization (Docker), and ML workflow tools (e.g., MLflow, Kubeflow, Airflow). Data Visualization Tools: Proficiency with BI and visualization tools like Tableau, Looker, or Power BI. What We Offer Contribute to building a cutting-edge Conversational Commerce platform poised for global expansion. Work with an international passionate, supportive, and talented team dedicated to excellence. Gear up with the latest Apple MacBook Pro. meal vouchers. Permanent and Full time contract Regular team-building events and celebrations. Access cutting-edge technologies and resources to stay at the forefront of web development. 8. Hiring Process Practical testing phase, which includes coding challenges aligned with the role and/or a practical project. Technical interview with the Dev Team (45')

Location: San Vito dei Normanni, Apulia, IT

Posted Date: 7/9/2025