Senior Data Scientist

ThoughtWorks; Barcelona; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a data scientist, where you'll leverage your expertise in statistics and machine learning to drive impactful solutions. Collaborate with diverse teams to tackle complex business challenges while ensuring data quality and ethical standards. This innovative firm fosters a culture of continuous learning and empowerment, providing you with the opportunity to grow and mentor others in a dynamic environment. If you're passionate about transforming data into actionable insights and making a difference, this role is perfect for you.

Servicios

Personalized career development programs

Diverse and inclusive workplace

Continuous learning opportunities

Formación

• Experience with data science techniques for end-to-end projects.
• Proficiency in Python and ability to preprocess large datasets.

Responsabilidades

• Develop data science solutions that significantly impact customers.
• Communicate technical insights clearly to stakeholders.
• Engage with clients to solve complex business problems.

Conocimientos

Statistical Modeling

Machine Learning

Deep Learning

Python

Data Analysis

Stakeholder Management

Data Privacy Awareness

Herramientas

Tableau

Descripción del empleo

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms, and data mining techniques. They are responsible for strategy, implementation, productionization, and demonstrating business impact. They collaborate with cross-functional teams, communicate findings to both technical and non-technical stakeholders, stay updated with industry advancements, ensure data quality and security, and guide junior team members.

As a data scientist at Thoughtworks, you'll work on diverse projects, leveraging technical expertise to solve complex business problems.

Job Responsibilities

1. Collaborate with teams and products to develop data science and machine learning solutions that impact customers significantly.
2. Conduct experiments and develop hypotheses using advanced statistical techniques to address business challenges.
3. Develop and execute data science strategies that lead to measurable business results.
4. Communicate technical insights clearly and concisely to stakeholders, considering their perspective.
5. Engage with clients from various domains to solve their challenging problems.
6. Contribute to the data science community by sharing knowledge and staying abreast of the latest trends.
7. Address ethical issues in data science, including privacy, bias, and fairness, following ethical guidelines.

Job Qualifications

Technical Skills

• Experience with statistical modeling, machine learning, deep learning, optimization, and other data science techniques for end-to-end projects.
• Knowledge of AI subfields like NLP, computer vision, or Generative AI.
• Proficiency in Python, capable of writing production-ready, maintainable code.
• Ability to preprocess large structured and unstructured datasets, ensuring data quality.
• Skills in analyzing datasets with statistical and visualization tools like Tableau.
• Experience in developing and validating machine learning models for business problems.
• Ability to interpret and communicate findings effectively to non-technical audiences.
• Awareness of data privacy regulations and ethical standards.

Professional Skills

• Stakeholder management skills to liaise effectively between clients and project teams.
• Resilience and adaptability in ambiguous situations.
• Willingness to handle risks and conflicts constructively.
• Motivation to coach and mentor others, fostering a culture of technical excellence and accountability.

Other Information

Thoughtworks supports personalized career development through various tools and programs, emphasizing a culture of mutual growth and empowerment.

About Thoughtworks: A diverse, inclusive community transforming technology for over 30 years, delivering impactful solutions to complex business challenges with a focus on continuous learning and innovation.