Data Scientist

Responsibilities:

• The Candidate would be tasked with solving a real-life business problem that requires processing/analysing TBs of data and handling variety of data sources
• The candidate will be expected to deal with data extraction and munging, using appropriate ML techniques to build data science solutions and to implement these solutions in production.
• The work is organized as a project with clear deliverables and stringent timelines
• The Candidate would collaborate with other team members who would provide support and mentoring
• The Candidate would proactively investigate, report, and where possible, address data quality issues

Core Skills:

• Strong SQL skills (6-7 Years of hands-on experience with complex queries and data munging)
• Deep Machine Learning expertise (hands on with 6-7 years of experience)
• Strong expertise in Python (particularly Machine Learning Libraries)
• Experience implementing machine learning solutions in at least 3-5 real-life Analytics Projects (Excluding Academic/side projects)
• Solid fundamentals, knowledge of supervised, unsupervised, machine learning and deep learning algorithms, such as classifiers, cluster analysis, dimension reduction, regression, time series forecasting, boosting/bagging, model explain ability techniques
• Exposure to deep learning algorithms and areas such as NLP is a strong plus.
• Excellent communication (written/verbal), presentation and facilitation skills
• Ability to engage with business teams directly, especially with key stakeholders spread across different Geos (particularly AMER and EMEA)
• Great presentation skills

Preferred Skills:

• Good understanding of API connections and data pipelining

• Manage requirements, create specifications
• Strong organizational skills and attention to detail
• Resilient and flexible, comfortable with ambiguity, and adaptable to fast-changing environment/objectives and in leveraging AGILE methodologies and toolkits.
• Good analytical and problem-solving skills

• Ability to handle several concurrent activities with strong organizational skills and attention to detail
• Prior experience in working with EMEA and AMER based teams is a plus.
• We're team players. You'll do well if you're one too.