Senior Data Scientist

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We are looking for a skilled Senior Data Scientist to join our team and contribute to impactful data-driven projects. The ideal candidate will possess strong experience in data analytics and data science, with the ability to deliver actionable insights in a non-academic setting.

Qualifications

• Professional Experience: Proven experience delivering data analytics and/or data science projects in a business or industry setting.
• Data Preparation: Expertise in data consolidation, cleansing, and validation to ensure quality and accuracy in insights.
• Data Visualization: Proficiency with tools like Tableau and Power BI to create compelling dashboards and reports.
• Predictive Modeling: Experience with supervised and unsupervised modeling techniques using R, Python, or similar programming languages.

Nice to Have

• Advanced Machine Learning: Familiarity with complex ML applications such as natural language processing (NLP), computer vision, or optimization techniques.
• Big Data & Cloud: Ability to work with and process large datasets, with experience in cloud environments like AWS, Azure, or Google Cloud.
• Presentation Skills: Competence in presenting analytical results clearly to clients and stakeholders.
• Industry Knowledge: Working experience or knowledge of sectors such as manufacturing, energy, public sector, automotive, or utilities is advantageous but not required.
• Flexibility: A flexible mindset to adapt approaches, techniques, and technologies to meet diverse project needs.