Senior Data Scientist- Retail / Agro

Tiger Analytics; Granada; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

An established industry player is seeking experienced Data Scientists to tackle complex business challenges in the Retail and CPG sectors. This role involves designing predictive models, collaborating with diverse teams, and leveraging domain expertise to drive insights and growth. With a commitment to innovation and excellence, this company offers a dynamic environment that fosters professional development and encourages impactful contributions. Join a fast-growing firm with a vision to lead in AI and analytics, where your skills will help shape the future of data-driven decision-making.

Formación

• 6-8+ years of hands-on experience in data science, focusing on Retail CPG and Agro.
• Strong understanding of machine learning and predictive analytics.

Responsabilidades

• Design and implement advanced predictive models for Retail CPG and Agro sectors.
• Collaborate with stakeholders to provide data-driven solutions.

Conocimientos

Python

R

SQL

Machine Learning

Predictive Analytics

Statistical Modeling

Data Manipulation

Communication Skills

Herramientas

AWS

Azure

Google Cloud

Descripción del empleo

Tiger Analytics is the largest AI and advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring depth in the industry and deep expertise in Data Science, Data Engineering, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. We also have a presence in Europe, Singapore and LATAM markets.

We are the fastest growing and largest pure play provider in the space. We are also the only bootstrapped firm in this space looking to go IPO in the next 3 to 5 years. If you are passionate about being associated with a company like ours and join our mission to the best AI firm in the world providing Certainty to our clients in their businesses, we would like to speak with you.

Key Responsibilities :

• Work on the latest applications of data science to solve business problems in the Retail and CPG space.
• Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Agro sectors.
• Collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
• Develop data models and pipelines to support analytical and machine-learning initiatives.
• Leverage domain knowledge in Retail CPG and Agro to produce insights and identify growth opportunities.
• Prepare and present insights, recommendations, and data findings to technical and non-technical audiences.
• Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

Minimum Requirements :

• 6-8+ years of hands-on experience in data science, with a focus on the Retail CPG and Agro- industry.
• Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling.
• Domain Knowledge : In-depth knowledge of the Retail CPG industry, especially in Agro. Familiarity with industry-specific datasets, trends, and KPIs.
• Excellent communication skills with the ability to present data insights to a variety of audiences.
• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)
• CI / CD Practices : Experience with continuous integration and deployment practices is a plus. Experience with model deployment and monitoring is a plus.
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.