
51 - 200 employees
đ¤ Artificial Intelligence
đ¤ B2B
âď¸ SaaS
đ° Venture Round on 2022-04
Artificial Intelligence ⢠B2B ⢠SaaS
Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.
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51 - 200 employees
đ¤ Artificial Intelligence
đ¤ B2B
âď¸ SaaS
đ° Venture Round on 2022-04
Artificial Intelligence ⢠B2B ⢠SaaS
Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.
⢠Design and implement scalable and reliable approaches to support or automate decision making throughout the business ⢠Apply data science techniques and subject matter expertise to solve difficult business problems and ambiguous cases ⢠Acquire data by building SQL/ETL queries and import processes for S3, RedShift, and Spark storage systems ⢠Analyze data for trends and input validity, including distributions, bivariate relationships, transformations, and anomalies ⢠Build statistical, mathematical, econometric, network, social network, NLP, machine learning, genetic algorithm, and neural network models ⢠Validate models against alternative approaches, expected and observed outcomes, and business KPIs ⢠Implement models meeting computational demand, accuracy, and reliability requirements across production ETL stages ⢠Deploy state-of-the-art generative AI and machine learning algorithms, build prototypes, troubleshoot customer issues, and explore new solutions ⢠Interact with customers and the academic community to drive innovation and deliver tailored data science solutions ⢠Build stakeholder relationships and translate business needs into data science solutions ⢠Collaborate with engineering, analytics, AI, and product teams ⢠Communicate findings and model results to non-technical executive audiences ⢠Establish data science best practices and modeling standards ⢠Mentor junior and mid-level data scientists ⢠Use Claude, Cursor, and other modern AI assistants to deliver high-quality work at pace
⢠10+ years of data scientist experience ⢠Bachelor's degree and 8 years of experience OR Master's degree and 4 years of experience ⢠2+ years of hands-on experience with generative AI technology ⢠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 ⢠5+ years of hands-on Python experience building, training, and evaluating models ⢠Customer-facing experience ⢠Excellent communication skills with non-technical executive audiences and ability to translate complex models into actionable insights ⢠Competency in SQL, Python, R, SAS, Matlab, or similar querying, scripting, statistical, or mathematical software ⢠Experience with statistical models such as logistic regression and supervised learning ⢠Expert day-to-day knowledge of AI-forward coding tools such as Claude and Cursor ⢠Excellent problem-solving skills and sound judgment in ambiguous technical and business challenges ⢠Advanced machine learning frameworks and cloud-based data science platforms are a plus ⢠Healthcare data experience is a plus ⢠AWS certifications are strongly preferred ⢠Experience with generative AI applications on AWS using Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker ⢠Experience designing, deploying, and evaluating LLM-powered agents, tools, and orchestration approaches ⢠Experience designing, developing, and optimizing prompts and templates for LLMs ⢠Experience with Strands, LangChain, or LlamaIndex ⢠Hands-on experience building cloud applications ⢠Successful background check may be required
⢠Employment offer may be conditional upon successful completion of a background check in accordance with local legislation ⢠Equal employment opportunities for all job applicants and employees ⢠Your current employer will not be contacted without your permission
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