Senior Data Scientist

Summary

Join Remofirst, a rapidly growing company revolutionizing the industry, as a Senior Data Scientist. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights and solve complex business problems. Collaborate with cross-functional teams to develop and implement data-driven solutions. This role offers the opportunity to work on impactful projects for clients like Microsoft and Mastercard. Remofirst provides a supportive and inclusive culture with competitive compensation and 100% remote work.

Requirements

• At least 5-7 years of professional experience in data science or a related role
• Proficiency in programming languages such as Python or R
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong SQL skills and experience with databases (e.g., MySQL, PostgreSQL, NoSQL)
• In-depth knowledge of statistics, probability, and linear algebra
• Strong analytical and problem-solving skills with the ability to translate business problems into data science solutions
• Excellent verbal and written communication skills to explain technical concepts to diverse audiences
• Proven ability to work effectively in a cross-functional team environment
• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud)
• Knowledge of MLOps practices for deploying and maintaining machine learning models in production
• Prior experience leading data science projects or managing teams

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement
• Develop, implement, and optimize machine learning models to solve specific business challenges
• Use advanced statistical techniques to validate hypotheses and support data-driven decision-making
• Collaborate with stakeholders to understand business goals and define a data strategy that aligns with organizational objectives
• Design and build efficient data pipelines for extracting, transforming, and loading (ETL) data from multiple sources
• Create intuitive and impactful visualizations and dashboards to communicate findings to technical and non-technical audiences
• Stay up-to-date with the latest advancements in data science and machine learning to propose innovative solutions
• Provide technical guidance and mentorship to junior team members
• Work closely with engineers, product managers, and domain experts to ensure alignment between data science efforts and business priorities

Preferred Qualifications

• Experience with big data technologies (e.g., Spark, Hadoop)
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or matplotlib)

Benefits

• Competitive compensation
• 100% remote work
• PTO regulated by local statutory
• Health insurance