Data Scientist

Spoki; San Vito dei Normanni; Ibrido; EUR 30.000 - 40.000; Tempo pieno

Descrizione del lavoro

Spoki seeks a Data Scientist to join their innovative team in San Vito dei Normanni. This role emphasizes problem-solving, data preparation, and machine learning to enhance business operations. Candidates should have a master's or PhD in a quantitative field and robust programming skills.

Servizi

Latest Apple MacBook Pro

Meal vouchers

Regular team-building events

Access to cutting-edge technologies

Competenze

• 3+ years of experience in data science or analytics role.
• Strong proficiency in programming with Python.
• Advanced SQL/noSQL skills for large datasets.

Mansioni

• Partner with stakeholders to solve business challenges using data.
• Design and deploy machine learning models for business outcomes.
• Communicate complex data insights to diverse audiences.

Conoscenze

Python

Data Analysis

Machine Learning

SQL

Statistical Knowledge

Communication Skills

Formazione

Master's or PhD in a quantitative field

Strumenti

Pandas

NumPy

Scikit-learn

Matplotlib

TensorFlow

PyTorch

Descrizione del lavoro

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')