Data Scientist Salary at Scalesology BETA

Job Title: Lead Data Scientist Location: Chicago, IL (onsite role) Experience Level: 12-15 Years of relevant experience in Azure, AI, ML, also need someone having good exposure to manufacturing background. Responsibilities: Leadership and Team Management: Lead and manage a team of data scientists and machine learning engineers. Provide mentorship and guidance to junior team members, fostering a collaborative and innovative environment. Requirements: Experience in handling projects from Manufacturing clients. Proven experience as a Lead Data Scientist or similar role. Strong expertise in machine learning, with a focus on Azure ML. Extensive experience in time series analysis and forecasting. Proficiency in deep learning frameworks such as TensorFlow or PyTorch. Knowledge of generative AI techniques and applications. Demonstrated experience in building end-to-end AI/ML solutions on cloud platforms, especially Azure. Experience with Azure cloud services like Azure Databricks, Data Factory

Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Job Description Come to work each day with an inclusive and collaborative Business technology team! As an Data Scientist I in AbbVie Business Technology Solutions (BTS), youll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. ***This is a hybrid role based in Lake County, IL*** Purpose This position is an opportunity for an early care

Senior Machine Learning Engineer Location: Chicago, IL Type: Contract/Hybrid Contact: Bri at Bleifker@forbestc.com Purpose: We are committed to advancing our services through data-driven decisions and automation. This mission shapes every decision as we innovate the future of the industry. We are looking for talented, innovative, and driven individuals to help us enhance experiences for our guests, customers, and internal teams. We are seeking an experienced Machine Learning Engineer to develop algorithmic solutions that improve user experiences and drive operational efficiencies. In this role, you will be responsible for designing and implementing end-to-end machine learning product architectures, from data ingestion and processing to delivering results. You’ll work closely with cross-functional teams, including data science, data engineering, and data architecture, to ensure seamless integration of machine learning models. As a key member of a growing, high-visibility team, you’ll be

Description Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost effici

Job Title: Research Scientist Job Description We are seeking a Research Scientist to join our Analytical Development Team. In this role, you will be responsible for advancing life-saving drugs by developing small molecule drugs for emerging pharma and biotech companies worldwide. You will have the opportunity to lead projects and contribute significantly to the development and transfer of analytical methods. Responsibilities Develop analytical testing strategies based on customer technical packages and process development synthetic routes Develop new analytical methods Assess customer methods for validation readiness Execute method validation protocols for the cGMP release of drug substance batches Author reports and review data Collaborate with customers and other functional areas to advance projects through development Provide analytical technical assistance to QC and Process Chemistry areas Assure compliance with safety, quality, and regulatory policies/government regulations Execut

Title: Sr Machine Learning Engineer Location: Chicago, IL Role Type: 9 Months Contract Job Description: Duties: Collaborate with data scientists, software engineers, and DevOps teams to develop and deploy ML models Build, test, and deploy ML Ops pipelines on AWS Manage and monitor production ML systems to ensure optimal performance, reliability, and scalability Design and implement automated workflows for data cleaning, feature engineering, model training, and model deployment Develop and maintain documentation for ML Ops processes and procedures Continuously improve ML Ops pipeline performance and efficiency Troubleshoot and resolve issues related to ML model performance, data quality, and infrastructure Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 5-7 years of experience in ML Ops, DevOps, or related roles Strong knowledge of AWS services and tools related to ML Ops, such as SageMaker, Step Functions, Lambda, and CloudFor

Our Financial Services client is actively seeking a Sr. ML Engineer to support their Chicago based team. This opportunity is 3 days onsite in downtown Chicago, IL Day to day: Collaborate with data scientists, software engineers, and DevOps teams to develop and deploy ML models Build, test, and deploy ML Ops pipelines on AWS Manage and monitor production ML systems to ensure optimal performance, reliability, and scalability Design and implement automated workflows for data cleaning, feature engineering, model training, and model deployment Develop and maintain documentation for ML Ops processes and procedures Continuously improve ML Ops pipeline performance and efficiency Troubleshoot and resolve issues related to ML model performance, data quality, and infrastructure Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 6+ years of experience in ML Ops, DevOps, or related roles Strong knowledge of AWS services and tools related to M

Description Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost effici