Senior Data Scientist

Summary

Join Blend, an award-winning data science consultancy, as a Senior Data Scientist! Collaborate with business leaders to solve diverse client challenges across various sectors. Develop data-driven solutions, build efficient data pipelines, and create analytics tools. You will perform data cleaning, statistical analysis, and train predictive models using cutting-edge techniques. This role offers flexible working options, including 100% remote work for LATAM residents, and a comprehensive benefits package. The ideal candidate possesses a Master's degree in a quantitative field, 3+ years of experience in advanced data science, and proficiency in relevant software and technologies.

Requirements

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• 3+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization
• Experience with one or more Advanced Data Science software languages (Python, R, SAS)
• Proven ability to deploy machine learning models
• Experience with SQL and relational databases, query authoring and tuning. Working familiarity with various databases including Hadoop/Hive
• Experience with Spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Excellent written and verbal English for clear and effective communication with the team

Responsibilities

• Work with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints
• Solve challenges through diverse Data Science solutions and align stakeholders on strategies, deliverables, and roadmaps
• Develop project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies
• Assemble large, complex datasets that meet business requirements and construct analytics tools to provide actionable insights for customer acquisition and operational efficiency
• Perform data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making
• Train, validate, and cross-validate predictive models using cutting-edge techniques and document results for client deliverables

Preferred Qualifications

Experience with Google Analytics, Adobe Analytics and/or Optimizely

Benefits

• Every day lunches! (headquarters)
• Vegetarian, vegan, gluten and sugar-free options
• Gourmet meals every Friday with our on-site chef!
• Flexible working options to help you strike the right balance
• All the equipment you need to harness your talent (Macbook and accessories)
• Snacks and beverages available everyday (headquarters)
• After office events, football, tennis and game nights (headquarters)
• AWS Certifications (we are AWS Partners)
• Study plans, courses and other certifications
• English Lessons
• Learn from your teammates on our Tech Tuesdays!
• Mentoring and Development opportunities to shape your career path
• Anniversary and birthday gifts
• Great location and even greater teammates!