Technical Test Lead | Data Science | Machine Learning

Pay Rate Range: $47.29 - 49.29/hr. Job Descriprion: READ BEFORE SUBMITTING: UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions We prioritize endorsing those with complete and accurate information Avoid submitting duplicate profiles. We will Reject/Disqualify immediately. Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open. Please submit profiles within the max proposed rate Please make sure to TAG the profiles correctly if the candidate has WORKED FORas a SUBCON or FTE. MANDATORY: Please include in the resume the candidate's complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED. Must Have Skills: Master's/PhD degree with 3+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.) Experience with Python programming language Practical experience with data extraction, cleaning, and analysis Depth of knowledge in statistical and machine learning techniques Nice to Have Skills: 8+ years of experience in a technical professional environment, in addition to the minimum requirements Experience with SQL and data visualization (Tableau, PowerBI) Practical experience designing, building and deploying machine learning models Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure) Domain knowledge in the airline industry Experience working in a consulting role Top 3 Must Have Skills: MS or PhD in Data Science, Computer Science, Statistics, or related field Strong Python expertise (production-grade coding, modularization, testing, performance tuning) Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization) Nice to Have Skills and Experience: Experience with Databricks / Spark-based ML pipelines Proficiency in SQL and working with large-scale datasets Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring) Describe a great candidate that you are looking for and what skills and experience they will have: Has proven experience taking ML models from prototype to production with Python and Databricks. Demonstrates strong skills in code optimization, debugging, and system integration. Understands the end-to-end ML lifecycle, including deployment and monitoring. Is comfortable working with existing codebases and improving them, rather than only building new models. Clear communication and effective collaboration. What is the team environment and structure like?: Centralized Machine Learning team supporting 7 business units Team consists of Senior to Principal-level Data Scientists Collaborative, supportive, and high-performing culture Strong focus on quality, innovation, scalability, and measurable revenue impact How will the resource(s) fit into your team?: The resource will embed within the centralized ML team and support the Customer Intelligence CBI productionization initiative. Take ownership of productionizing ML pipelines, including code refactoring and system optimization Collaborate closely with data scientists, data engineers, and product partners Accelerate delivery of scalable, production-ready ML solutions Skills, Licenses & Certifications Ability to effectively communicate both verbally and written with all levels within the organization Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving Ability to view data from different angles to employ feature engineering techniques to better represent models Ability to work on a diverse team with diverse skillsets Minimum Years of Experience: 3+ years Certifications Needed: Top 3 responsibilities you would expect the Subcon to shoulder and execute: Interview Process (Is face to face required?) Virtual and Face-to-face