Experienced Senior Data Scientist – Remote Opportunity for Advanced Data Analysis and Predictive Modeling Expertise at Remotica

Introduction to Gigspire and the Role Talvora is a leading organization in the healthcare and retail industry, dedicated to creating more satisfied lives through better health. With a rich history of caring for communities, Flexionis operates nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a Senior Data Scientist at Jobtrix, you will play a vital role in driving business growth and informed decision-making through advanced data analysis, predictive modeling, and machine learning techniques. Job Responsibilities As a Senior Data Scientist at Remotica, your primary responsibilities will include: Building models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods Innovating by adapting to new modeling strategies and procedures to stay ahead of the curve Understanding the business context behind large datasets and developing meaningful analytic solutions Applying analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools Performing machine learning techniques, including supervised and unsupervised algorithms, to build predictive models and prescriptive solutions that support various business use cases Building algorithms such as decision trees, regression, XGBoost, K-means, and anomaly detection, as well as utilizing interpretable ML, Bayesian theory, and other relevant techniques Utilizing cloud computing on Azure/Databricks, querying in Snowflake, and leveraging software tools and methodologies such as GitHub, continuous integration and delivery, and agile methodologies Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support Communicating verbally and in writing to business clients and management teams with diverse levels of technical expertise, educating them about systems and sharing insights and recommendations Essential Qualifications To be successful in this role, you will need: A Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative, or computational capabilities, or a High School/GED and a minimum of 7 years of experience in these fields An M.S. in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models Advanced experience in SQL, Python, PySpark, or other languages Advanced degree skill in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions Experience using decision trees and building classifiers Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K-means, hierarchical clustering, association rules, principal components) Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores, and serving engines Experience designing and analyzing A/B experiments Advanced degree skill in conveying rigorous technical standards and issues to non-experts Experience working in dynamic environments and operating with ambiguity, prioritizing needs, and delivering results Experience effectively communicating technical solutions and advocating to research scientists, engineering teams, and business audiences At least 2 years of experience contributing to financial decisions in the workplace At least 2 years of direct management, indirect management, and/or cross-functional team management Willingness to travel up to 10% of the time for business purposes (within the country and internationally) Preferred Qualifications While not required, the following qualifications are preferred: A Ph.D. in STEM, computer science, data systems, physics, mathematics, statistics, data science, machine learning, or a similar field Experience working with IoT and Edge AI Experience in Reinforcement Learning Experience in Healthcare Skills and Competencies To succeed in this role, you will need to possess the following skills and competencies: Strong technical skills in machine learning, statistical modeling, and data analysis Excellent communication and interpersonal skills Ability to work effectively in a team environment and collaborate with cross-functional teams Strong problem-solving and analytica