Data Scientist - - 11482

Home / Jobs / Dettagli offerta

Informazioni generali

Nazione

Italy

Regione

Lazio

Città

Roma

Team

Customer Operations and Retail

Anzianità

Expert (4-8 anni di esperienza)

Tipo di Lavoro

Tempo indeterminato

Tipo di assunzione

Tempo pieno

Modalità di lavoro

Ibrido

Data pubblicazione

11-nov-2024

Data di Scadenza

25-nov-2024

Società

ENEL X S.R.L.

Descrizione e Requisiti

If you want to change the face of energy, we are looking for a “Data Scientist” to join our “Customer Intelligence” team!

Who You’ll work with

You will join the Customer Intelligence Team of Enel X Global Retail that is in charge of creating Advanced Analytics and providing actionable insights to drive business growth and optimize our marketing and sales strategies.

What You’ll do

• Analyze and interpret customer data to identify trends, behaviors, and market opportunities;

• Develop statistical and machine learning models to enhance global retail activities, such as predicting churn and identifying potential up-selling and cross-selling opportunities.

• Solve hard, non-routine analysis problems, applying advanced analytical, statistical, mathematical methods as needed and be autonomous in end-to-end development of a Data Product (data gathering and requirements specification, data preprocessing, analysis, modelling, presentations, code industrialization)

• Actively collaborate with various stakeholders to translate complex insights into concrete recommendations for the retail teams and ensure alignment of business strategies.

• Monitor marketing campaign performance and provide recommendations to optimize their effectiveness.

• Improve, maintain and leverage an existing data model to support business analyses and strategic decisions and maintain updated knowledge on the latest trends and technologies in the field of data science.

What You’ll bring

• 4 - 8 years of working experience as a Data Scientist/ML Engineer solving marketing problems

• Data science and statistics skills with a good understanding of probability theory, A/B testing and time-series analysis,

• Great knowledge of machine learning algorithms. Experience with the full machine learning lifecycle

• Proficient in Python (advanced to expert level)

• Sound experience in querying SQL/NoSQL databases

• Outstanding analytical and problem-solving skills

• Advanced experience in Excel, BI and Data Visualization tools (Power BI).

• Experience with Git and DevOps methodologies: the Atlassian suite (bitbucket, confluence, Jira, bamboo) is a strong plus.

• Experience with microservices architecture (Docker containers and Kubernetes) is a strong plus.

• Experience with AWS Sagemaker is considered a strong plus.

• Experience with Analytical Engineering tools such as DBT is considered a strong plus.

• Ability to bridge the gap between technical and non-technical stakeholders, ensuring effective and inclusive communication.

• Effective written and verbal communication skills.

• Capability to translate complex insights into clear, concise, and actionable recommendations, adapting the message to the target audience.

• Skill in tackling data quality challenges, analysis issues, and technical difficulties, finding innovative and pragmatic solutions.

• Curiosity and continuous learning.

• Ability to critically evaluate data, identify biases and distortions, and ensure reliable and robust insights

• Advanced degree (Ph.D preferred) in a quantitative field such as Maths, Physics, Computer Science or Data Science.

Why join us?

• Permanent employment contract

• Health insurance and supplementary pension fund

• Life-long learning

• Development and empowerment paths

• Corporate welfare for better work-life balance (parenting support, daycare, extra parental leave etc…)

• Benefits with dedicated offers and conventions (meal vouchers, travel, transport, sports, culture, energy etc...)

Location: Rome (Italy)

Diversity, Equity, Inclusion and Selection Process

This opportunity is open to all candidates, we care about everyone unicity since a diverse workforce is an innovation lever.

Our selection process is customized for each role and includes an interview with our recruiters and/or an attitudinal assessment and a meeting with our business line colleagues for a technical evaluation. If you are in line with the job description, the recruiting team will contact you, providing you with additional information about the recruiting process.

We are looking for people who embody our values: Trust, Respect, Innovation, Proactivity and Flexibility.

Are you ready to make a difference and grow with us? Apply now and join us in leading the energy transition within the Customer Intelligence team!

Who we are

Enel Spa

We’re a global leader in energy generation, distribution, and sales, as well as the largest private renewable energy operator, thanks to our wind, hydroelectric, photovoltaic, and geothermal plants.

We generate, deliver, and sell energy in 28 countries across Europe, the Americas, Africa, Asia, and Oceania, with an unwavering commitment to the development of territories, local communities, and customers.

We’re engaged in ensuring ever-more efficient, resilient, and digitalized electrical grids, with the highest service standards, by managing a network spanning 1.9 million kilometers and investing in storage systems to integrate renewable production, stabilize the electrical system, and allow for the management of the intermittency of renewable sources.

Innovation and sustainability are part of our Strategic Plan: we invest in new technology and new ways to develop and operate energy facilities, grids, and customer-focused services, fostering a more conscious energy use.

With an installed capacity of over 86 GW – 62 GW of which from renewable sources - and 60 million worldwide customers, we work for a fair energy transition and a clean electrification process, thanks also to our reliable and accessible electric mobility services and a network of 26,200 public charging stations.

Curious about us? Explore here www.enel.com