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Job Description This is a remote position. SR DATA SCIENTIST Duration: 12+ months What problem are we trying to solve: • The Senior Data Scientist will support our organization's data-driven initiatives by providing insights, developing predictive models, and driving data-centric decision-making across various business domains., • This role will act as the primary contact for advanced analytics projects, collaborating with cross-functional teams to extract valuable insights from complex datasets. Tech Stack • Embedded within product development teams. Responsibilities include: • Building and evaluating models., • Refining business-defined measures and metrics., • Supporting dynamic and creative approaches to data science., • Tech environment: AWS, Python preferred (other languages possible), avoiding excessive language spread. Hard Requirements: Technical Skills: Common Technologies/Tools: Programming Languages: Python, R, SQL Data Visualization Tools: Tableau, Power BI, DataDog Version Control Systems: Git, GitHub Project Management Tools: Jira, Confluence Cloud Platforms: AWS, Azure, Google Cloud Platform Data Warehousing: Redshift, BigQuery, Snowflake Soft Skills: • Advanced Statistical Analysis and Modeling, • Proficiency in statistical methods and machine learning algorithms., • Experience with predictive modeling and forecasting. Programming and Scripting: • Strong programming skills in Python or R., • Proficient in SQL for database querying., • Data Visualization and Storytelling, • Ability to create compelling visualizations to communicate insights., • Experience with data visualization tools like Tableau, Power BI, or DataDog., • Problem-Solving and Critical Thinking, • Strong analytical skills to tackle complex business challenges., • Ability to think strategically and provide data-driven recommendations., • Communication and Collaboration, • Excellent verbal and written communication skills., • Ability to work effectively in cross-functional teams., • Knowledge of Software Development Lifecycle ( SDLC ), • Understanding of best practices in software and data pipeline development. Requirements • 60%+ of this gig is building LLMs - and doing so from scratch. Hence the need for DS with, a) this expertise; and, b) have done so in a commercial setting [as opposed to academia when in a Research capacity]., • They need to have built the LLMs, built the pipelines, deployed 'em and managed/monitored 'em., • These LLMs must have had a quantifiable business impact which is demonstrable on the resume and in an interview., • Finally.....as for alGORITHM/MLexpertise, we need to find folks with the following: "... knowledge of statistics and have developed ML models like Random Forst, XGboost, Regression, and other classification and regression forecasting... " In summary....these DS roles are very similar to those of Toyota Connected. Guys who can do it all - interface and gather Clients from stakeholders, build the models, deploy, manage and utilize. They won't get much in the way of technical or business direction - they will be self-sufficient and the ones who drive the insights, "Look what I found.... " bus. They CANNOT be the types who just sit at their desk crunching numbers, publishing reports and onto the next. They need to be on the front foot and pushing the boundaries.

FOOD SCIENTIST SPECIALIST – HEAD OF R&D We are seeking a detail-oriented, innovative Food Scientist Specialist to join our team and support the development, safety, and quality of our products using modern tools like FlexiBake and PRIMS. Position Summary As a Food Scientist specialist at Carlo’s Bakery, you will be responsible for developing and improving food products, optimizing formulations, ensuring food safety and compliance, and supporting sustainability in food production. You will use your expertise in food science, along with systems like FlexiBake and PRIMS, to collaborate with cross-functional teams and ensure our products meet both consumer expectations and regulatory standards. This role is also responsible for overseeing the day to day operations of the R&D department. Key Responsibilities Product Development & Innovation • Create new products: Develop concepts and formulations for innovative bakery and savory items based on market trends and consumer insights., • Improve existing products: Enhance taste, texture, shelf-life, and nutritional value of current offerings., • Specialize in flavor profiling, balancing taste, aroma, and texture for consumer appeal., • Select, test, and qualify new raw materials., • Maintain and update recipes, specs, and BOMs using FlexiBake and PRIMS., • Ensure safety: Inspect raw ingredients and final products for compliance with food safety and quality standards., • Monitor quality: Analyze food samples for nutrition, quality, and adherence to regulatory standards., • Ensure accurate nutrition labeling in compliance with FDA and USDA regulations., • Contribute to sustainable practices in ingredient sourcing and production processes., • Work with Production, Marketing, Procurement, Operations, Logistics, R&D and QA teams to launch and refine products. Qualifications • Bachelor’s degree in Food Science, Nutrition, Food Technology, or related field., • 3–5 years of experience in food product development; bakery experience highly preferred., • Proficiency with Nutrition database systems and production management systems., • Solid understanding of food labeling laws and regulatory compliance (FDA/USDA)., • Strong experimental design and analytical skills., • Excellent organizational and communication abilities., • Demonstrated ability to manage multiple projects in a fast-paced environment., • Experience in an SQF environment preferred.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.