Remote Senior Data Scientist

Description:

• As a Senior Data Scientist, you will collaborate closely with business leaders to address diverse business challenges faced by clients.
• Your engagements will span various sectors including marketing, revenue management, customer service, and inventory management.
• You will work with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
• You will solve challenges through diverse Data Science solutions and align stakeholders on strategies, deliverables, and roadmaps.
• Developing project plans with milestones, dates, owners, and risk contingency will be part of your responsibilities.
• You will create and maintain efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
• Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights will be essential.
• You will perform data cleaning, quality control, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
• Training, validating, and cross-validating predictive models using cutting-edge techniques and documenting results for client deliverables will be required.
• You may work 100% remotely if you are currently living in LATAM or you can join the office in Montevideo, Uruguay.

Requirements:

• You must have 3+ years of professional experience in Advanced Data Science, including predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, and time series forecasting optimization.
• Experience with one or more Advanced Data Science software languages such as Python, R, or SAS is required.
• Proven experience in machine learning, deep learning, optimization, and time series analysis is necessary.
• You should have experience with SQL and relational databases, including query authoring and tuning; familiarity with Snowflake is a plus.
• Experience with Spark and data-frames in PySpark or Scala is required.
• Strong problem-solving skills and the ability to pivot complex data to answer business questions are essential.
• You must be comfortable with cloud-based platforms such as AWS, Azure, or Google.
• Familiarity with cloud platforms like Databricks and Vertex AI for model development and deployment is preferred.
• Excellent written and verbal English skills are necessary for clear and effective communication with the team.

Benefits:

• Daily lunches are provided at headquarters, with vegetarian, vegan, gluten, and sugar-free options available, along with gourmet meals every Friday prepared by an on-site chef.
• Flexible working options are offered to help you achieve a better work-life balance.
• You will receive all the necessary equipment to harness your talent, including a Macbook and accessories.
• Snacks and beverages are available every day at headquarters.
• After office events such as football, tennis, and game nights are organized, with everyone welcome to join the football league and other activities.
• Learning opportunities include AWS Certifications, study plans, courses, and English lessons, along with Tech Tuesdays for knowledge sharing.
• Mentoring and development opportunities are provided to help shape your career path.
• Anniversary and birthday gifts are given to employees.
• The company boasts a great location and even greater teammates.