Job Title: Senior Data Scientist (Applied Science) Location: Remote Job Type: Contract About Us: We are seeking a skilled and innovative Data Scientist to join our team and deliver impactful machine learning and data science solutions. This role requires a collaborative mindset, a deep understanding of data science techniques, and the ability to communicate insights effectively to stakeholders. If you are passionate about leveraging data to solve real-world problems and driving measurable business results, we'd love to hear from you. Key Responsibilities: Collaborate with teams and products to design and implement data science and machine learning solutions that create a significant impact on customers. Conduct experiments and develop hypotheses to solve business problems using advanced statistical techniques. Develop and execute data science strategies to drive measurable business outcomes. Translate complex technical findings into clear and concise insights for stakeholders, keeping their needs in focus. Work closely with clients from diverse domains to address complex challenges. Contribute to the growth of the data science community by sharing knowledge and staying up-to-date with the latest trends in data science and machine learning. Address ethical concerns, including privacy, bias, and fairness, while adhering to established ethical guidelines. Qualifications: Technical Skills: Experience in statistical modeling, machine learning, deep learning, optimization, and end-to-end data science projects. Expertise in impact evaluation techniques such as RCT (Randomized Control Trials), Difference-in-Differences, synthetic controls, instrumental variables, and Propensity Score Matching. Proficiency in statistical/data analysis tools like R, Python, or equivalent, with the ability to write production-ready code. Hands-on experience with SQL for dataset preparation and behavioral analysis. Proficiency in data analysis scripting using R or Python, with familiarity with libraries such as tidyverse (R), pandas, and stats models (Python). Ability to preprocess and manage large datasets, ensuring data quality and integrity. Skilled in statistical and visualization techniques to identify patterns, trends, and insights. Experience developing machine learning models, algorithms, and predictive analytics to solve business challenges. Knowledge of model evaluation metrics, robustness testing, and validation. Awareness of data privacy regulations and adherence to ethical standards. Proficiency in English and Spanish for effective communication. Professional Skills: Strong stakeholder management skills, with the ability to build trust and gain buy-in throughout projects. Resilience and adaptability to navigate ambiguous situations and approach challenges from multiple perspectives. Confidence in managing risks and conflicts, effectively guiding teams through them. Passion for mentoring, motivating, and coaching team members to achieve their best work. Advocacy for technical excellence while maintaining openness to change when necessary.