Senior Data Scientist- Retail / Agro

Tiger Analytics; Andosilla; Presencial; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

Tiger Analytics, a leading AI consulting firm, seeks a Data Scientist to tackle business challenges in Retail CPG and Agro. This mid-senior level role involves developing predictive models, collaborating across teams, and presenting insights to various stakeholders. Ideal candidates have 6-8 years of experience, proficiency in Python and R, and strong communication skills. This position presents an opportunity for significant career development in a dynamic environment.

Servicios

Career development opportunities

Formación

• 6-8+ years of experience in data science focused on Retail CPG and Agro.
• Proficient in Python, R, SQL; strong grasp of ML and predictive analytics.
• Excellent communication and presentation skills.

Responsabilidades

• Design and implement predictive models for business problems.
• Collaborate with teams to provide data-driven solutions.
• Prepare and present insights to diverse audiences.

Conocimientos

Python

R

SQL

Machine Learning

Predictive Analytics

Statistical Modeling

Data Manipulation

Communication

Herramientas

AWS

Azure

Google Cloud

Descripción del empleo

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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 be 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

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
• Be proactive, curious, have a can-do attitude, and a flexible personality

Benefits :

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst
• IT Services and IT Consulting

J-18808-Ljbffr

J-18808-Ljbffr