PstrongJob Description: Data Scientist /strong /ppbr/ppstrongCompany: /strong Spoki /ppbr/ppstrongLocation: /strong San Vito dei Normanni, Italy (Hybrid) /pp*we require on-site presence at our strongSan Vito dei Normanni (BR) /strong office strongone week every 6 weeks of remote work* /strong /ppbr/ppstrongSalary Range: /strong €30,000 - €40,000 /ppbr/ppstrongIntroduction to Spoki /strong /ppSpoki 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. /ppbr/ppstrongKey Responsibilities /strong /pulliProblem 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. /liliData Exploration Preparation: Source, clean, and transform large volumes of structured and unstructured data from various sources to prepare it for analysis and modeling. /liliModeling Machine Learning: Design, build, validate, and deploy machine learning models to solve business problems. /liliExperimentation: Design and analyze A/B tests and other experiments to measure the impact of new features, products, and strategies. /liliInsight 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. /liliProduction MLOps: Collaborate with data and software engineers to deploy models into production environments, monitor their performance, and maintain them over time. /liliDevelop 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. /liliInnovation 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. /li /ulpbr/ppstrongRequired Qualifications /strong /pulliEducation: Master's or PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or equivalent practical experience. /liliExperience: 3+ years of hands-on experience in a data science or analytics role. /liliProgramming Proficiency: Strong programming skills in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn). /liliSQL/NoSQL Expertise: Advanced proficiency in SQL/NoSQL for querying and manipulating large datasets. /liliMachine Learning Fundamentals: Solid understanding of core machine learning concepts and algorithms (e.g., linear/logistic regression, decision trees, clustering, classification, gradient boosting). /liliStatistical Knowledge: Strong foundation in statistical methods, hypothesis testing, and experimental design. /liliCommunication Skills: Excellent verbal and written communication skills, with a proven ability to explain technical concepts to non-technical stakeholders. /liliSpecialized Expertise: Experience in one or more of the following areas: Deep Learning (TensorFlow, PyTorch), Natural Language Processing (NLP). /li /ulpbr/ppstrongPreferred Qualifications (Nice-to-Haves) /strong /pulliBig Data Technologies: Experience with distributed computing frameworks like Spark (PySpark). /liliCloud Platforms: Hands-on experience with a major cloud provider (AWS, GCP, or Azure) and their machine learning services (e.g., Vertex AI, BedRock). /liliMLOps Deployment: Experience with model deployment, containerization (Docker), and ML workflow tools (e.g., MLflow, Kubeflow, Airflow). /liliData Visualization Tools: Proficiency with BI and visualization tools like Tableau, Looker, or Power BI. /li /ulpbr/ppstrong What We Offer /strong /pulliContribute to building a cutting-edge Conversational Commerce platform poised for global expansion. /liliWork with an international passionate, supportive, and talented team dedicated to excellence. /liliGear up with the latest Apple MacBook Pro. /lilimeal vouchers. /liliPermanent and Full time contract /liliRegular team-building events and celebrations. /liliAccess cutting-edge technologies and resources to stay at the forefront of web development. /li /ulpbr/ppstrong8. Hiring Process /strong /pulliPractical testing phase, which includes coding challenges aligned with the role and/or a practical project. /liliTechnical interview with the Dev Team (45') /li /ul