Data Scientist

Work mode: Hybrid, WFO 10 days per month

Contract duration: 6 months

Location: Frankfurt, Germany

Industry: Agriculture (industry experience would be an advantage)

JOB DETAILS

Role Title: Data Scientist

Minimum years of experience: 12 YEARS

Requirements:

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline

• Total experience of 12+ years out of which minimum of 4 years of experience in a data science role, with a focus on building and deploying ML models for predictive analytics

• Candidate should possess a combination of architectural expertise and data-driven problem-solving capabilities

• Past project experience should be in Data Architecture, Data Integration, Pipeline Development, Machine Learning and Model development

• Proven expertise in multivariate time series modeling as a must-have skill, and demonstrated knowledge in other branches of machine learning, including supervised and unsupervised learning

• Advanced skills in feature engineering and model optimization

• Proficiency in Python and SQL for data analysis and ML modeling

• Strong understanding of machine learning algorithms and statistical modeling techniques

• Experience with AWS cloud services, particularly Redshift for data storage and analysis, and SageMaker for model deployment

• Excellent communication and leadership skills with the ability to effectively lead and mentor a team

• Strong problem-solving and critical thinking abilities with a keen attention to detail

• Proven track record of successfully leading and delivering data science projects within a fast-paced environment is a must

• Proactive mindset and strong coding skills

Nice-to-Have:

• Experience of working with clients in Agri Science business or Pharma or Life Sciences domain

• Experience with big data technologies and frameworks (e.g., Hadoop, Spark)

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)

• Knowledge of data visualization tools and techniques for communicating insights to non-technical stakeholders