Mindcurv is hiring a
Senior Data Scientist

Summary

The job is for a Data Scientist in Mindcurv's Cloud Platforms Solution Line. The role involves delivering data science projects in the advanced analytics space, focusing on marketing and the automotive sector. The candidate should have 3-5 years of experience in Analytics systems/program delivery, with at least 2 Big Data or Advanced Analytics project implementation experiences.

Requirements

• Have experience working as a Data scientist in the context of Marketing (must have)
• Identify valuable data sources and collection processes
• Supervise preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build ML models using various machine-learning algorithms
• Present information using data visualization techniques
• Collaborate with Data engineering and product development teams
• Hands-on knowledge of implementing various AI algorithms and best-fit scenarios
• Strong math skills (e.g. statistics, algebra)
• Excellent communication and presentation skills
• Hands-on experience in Python. Knowledge of R, Pyspark and SQL is an added bonus
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Hands-on experience in the GCP platform (3+ years) (must have)
• Experience using business intelligence tools (e.g. Tableau) and Ml frameworks

Responsibilities

• Deliver Data Science projects undertaken in the advanced analytics space
• Drive business results with data-based insights
• Work comfortably with a wide range of stakeholders and functional/tech teams
• Discover solutions hidden in large data sets and work with stakeholders to improve business outcomes

Preferred Qualifications

Have worked in delivering use cases for the Automotive sector (good to have)

Benefits

• Perks, like drinks and snacks, pizza sessions, gaming nights and sensational parties, a pension scheme and a great salary
• An agile, entrepreneurial environment, with lots of freedom and no politics
• Work-life balance, a culture of transparency and a management team with their ears to the ground
• Remote First work environment. You can work from home and come into one of our offices when it adds value to be on-site