Staff Data Scientist

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Develop and implement scalable, dependable strategies to facilitate or automate decision-making processes across the organization.

• Utilize data science methodologies and specialized knowledge to address complex business challenges and ambiguous scenarios.

• Gather data by constructing SQL/ETL queries and import procedures for S3, RedShift, and Spark storage solutions.

• Examine data for trends and assess validity, including distributions, bivariate relationships, transformations, and anomalies.

• Create statistical, mathematical, econometric, network, social network, natural language processing, machine learning, genetic algorithm, and neural network models.

• Assess models against different methodologies, anticipated and actual outcomes, and business key performance indicators (KPIs).

• Execute models that satisfy computational demands, accuracy, and reliability criteria throughout production ETL phases.

• Implement cutting-edge generative AI and machine learning algorithms, develop prototypes, resolve customer issues, and investigate new solutions.

• Engage with customers and the academic community to foster innovation and provide customized data science solutions.

• Cultivate relationships with stakeholders and convert business requirements into data science solutions.

• Work collaboratively with engineering, analytics, AI, and product teams.

• Present findings and model outcomes to non-technical executive audiences.

• Establish best practices and modeling standards in data science.

• Provide mentorship to junior and mid-level data scientists.

• Utilize Claude, Cursor, and other contemporary AI assistants to produce high-quality work promptly.

⛳️ Requirements

• A minimum of 10 years of experience as a data scientist.

• A Bachelor's degree with 8 years of experience, or a Master's degree with 4 years of experience.

• At least 2 years of direct experience with generative AI technology.

• Over 5 years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel/distributed computing, high-performance computing, neural deep learning methods, and/or machine learning.

• More than 5 years of hands-on experience with Python, including building, training, and evaluating models.

• Experience in customer-facing roles.

• Exceptional communication skills with non-technical executive audiences and the ability to convert complex models into actionable insights.

• Proficiency in SQL, Python, R, SAS, Matlab, or similar querying, scripting, statistical, or mathematical software.

• Familiarity with statistical models such as logistic regression and supervised learning.

• Expert-level day-to-day knowledge of AI-focused coding tools like Claude and Cursor.

• Strong problem-solving abilities and sound judgment in navigating ambiguous technical and business challenges.

• Experience with advanced machine learning frameworks and cloud-based data science platforms is advantageous.

• Experience with healthcare data is a plus.

• AWS certifications are highly preferred.

• Experience with generative AI applications on AWS, including Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker.

• Proven experience in designing, deploying, and evaluating LLM-powered agents, tools, and orchestration methods.

• Experience in designing, developing, and optimizing prompts and templates for LLMs.

• Familiarity with Strands, LangChain, or LlamaIndex.

• Practical experience in building cloud applications.

• A successful background check may be required.

🏝️ Benefits

• Employment offers may be contingent upon the successful completion of a background check in accordance with local laws.

• Equal employment opportunities are available for all job applicants and employees.

• Your current employer will not be contacted without your consent.