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We are currently looking for a Sr. Data Scientist, Aftersales Parts Pricing to join our team in Franklin, TN. The Sr. Data Scientist provides complex data and predictive analytics solutions to identify and address opportunities for business expansion and optimization of marketing and incentive decisions.. In particular, the Data Scientist will be responsible for extracting relevant data, modeling business processes, discovering business insights, and identifying opportunities through the use of in-depth statistical, algorithmic, data mining and advanced visualization techniques.. Utilizes expertise in statistical and machine learning methods using tools such as R and proficiency in big data infrastructures such as Hadoop to perform tasks related to all aspects of model development, including data extraction/data load, data cleansing, predictive analysis, and model build.. Provides expert advice and recommendations to colleagues and Nissan leadership.. Further serves as educator/consultant to greater Nissan on advanced methods.
Join us as a Behavior Technician and discover wow for yourself in your career path. Increase for RBT certification.. Virtual office connection to hundreds of colleagues nationwide, and fun local events with colleagues in your area.. Paid prior experience working with kids (i.e. Camp counselor, daycare, nanny, school setting, ABA, etc) preferred.. Tech savviness - comfortable learning our data collection software and using Microsoft Office 365 (Excel, Outlook, Teams)
Prepares the strategy for ensuring BMI’s use of ethical AI, including spearheading an inter-department AI governance team and oversees implementation of ethical AI across identified projects. Communicates BMI’s AI strategy to stakeholders including affiliates, customers, partners, employees and the public as appropriate. Supports BMI core values and cultivate a culture of diversity and inclusion. Experience with Cloud AI/ML services on AWS, GCP, Azure. In addition to cash compensation, BMI offers a competitive portfolio of benefits to its employees, as described below.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.. 6+ years Life Sciences consulting or industry technology experience driving digital transformation and innovation by delivering impactful data and AI analytics solutions. 1+ years experience leading, managing and delivering complex technical engagements with resources in multiple locations Bachelor's Degree in Data Science, Computer Science, Mathematics or a related field Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve Limited immigration sponsorship may be available. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.
We are seeking a strategic and technically fluent Power BI Lead to drive the delivery of enterprise-level dashboards and AI-enhanced analytics supporting Agile transformation, DevOps acceleration, QBR processes, and talent development.. Lead the architecture, design, and deployment of Power BI dashboards across Agile, DevOps, and strategic transformation areas.. Collaborate with data science teams to ingest models and expose insights (e.g., Agile Maturity prediction, risk scoring, team health trends).. 7+ years of Power BI experience; 2+ years in a lead or solution architect role.. Experience delivering AI-infused dashboards or integrating Azure ML, Python/R, or AI services into Power BI reports.
+ Bachelor's or Master's degree or equivalent experience and a shown foundation in statistical and data science (e.g. Machine Learning, Predictive analytics, etc.). + Skill with analytic tools ranging from relational databases and SQL to Excel, and Python/R. Experience with Product analytics tools like Amplitude, Content square, Adobe analytics, etc.. + Experience working with on Premise and/or Cloud analytics environments like Hadoop, AWS, Snowflake, etc.. + Experience with data visualization and enablement tools like Tableau, Power BI, etc.
The Associate Professor of Computer Science and Data Science will spend 62.5% of their time (i) effectively teaching computer science, data science and biomedical data science courses, (ii) advising and mentoring School of Applied Computational Sciences (SACS) students, and (iii) developing instructional methods that will reflect best practices in pedagogy. Ability to lead and supervise students in academic research related to problems in health disparities utilizing artificial intelligence and machine learning techniques. Use of mainstream programming languages for computer science and data science, including Python, R, SQL, and SAS. Use of "other" potential programming languages including Java, Scala, Julia, TensorFlow, Go, Spark.. Earned doctorate degree in computer science, data science, bioinformatics, biophysics, or similar with emphasis in artificial intelligence and or machine learning
Company: Big Four Public Accounting Firm. 8+ years proven experience: with AI/ML with the last 2 years focused on GenAI technologies like: Open AI, Claude, Gemini, Lang Chain, Agents, Vector databases, approaches like Prompt Engineering, fine-tuning, etc. Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.. Cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.
Comprised of book printing, digital book, distribution, publishing sales, and marketing services, this part of Ingram's business helps publishers discover more ways to sell content in markets across the globe.. Assists client services associates with maintaining productive and positive relationships with other LSI departments including Pre-Media, Sales, Accounting, Shipping, and Production to communicate and effectively resolve customer satisfaction issues. It will be determined by factors including but not limited to: the applicant's education, experience, knowledge, skills, and abilities, geographic location, as well as internal equity and alignment with market data.. Wellness program with access to onsite gym and basketball court for associates. Take breaks or brainstorm in our game room with ping pong & foosball
Do you have experience in product classification with the U.S. Harmonized Tariff Schedule (HTS)?. We are looking for someone who has strong experience in duty determination and mitigation, risk assessment, PGA Regulations and an expert at interpreting federal regulations. Add your unique background to a dynamic customs compliance role where every detail matters!. Minimum of 5 Years of direct work experience in Customs Compliance and must have strong product classification experience to be considered.. This is a great opportunity to bring your unique background to a dynamic customs compliance role where every detail matters.
A company at the intersection of AI and Life Sciences is looking to expand their highly successful AI Research team.. The company is based in the San Francisco Bay Area, but the role may be open to fully remote.. Libriaries: PyTorch, Tensorflow, Scikit-learn, Pandas. Neural Networks: Graph Neural Networks, CNN. Protein Language Models: AlphaFold, etc.
Seeking a Machine Learning Engineer to maintain, enhance, and productionize an existing predictive model that estimates the average duration of construction jobs.. You’ll work with historical workflow data, improve model accuracy, and explore new ML opportunities once the current model is stable.. Python – strong proficiency for data manipulation & model implementation.. Applied Machine Learning – hands-on experience with regression, classification, or similar predictive modeling techniques.. Work with historical workflow data to refine accuracy and reliability.
Broad technical foundation in software engineering and deep learning (through self-study, practical experience, or PhD).. ML: knows the theory and applied side of deep learning, especially computer vision and foundational model architectures (PyTorch, OpenCV, Tensorflow).. Backend: experience designing and building scalable and high availability server-side systems (Python, NodeJS, or Golang).. Cloud: familiarity with DevOps and infrastructure (i.e. Docker, Kubernetes, GPU scheduling) on cloud (i.e. GCP, AWS).. Monitoring: experience with logging systems and monitoring tools such as DataDog, Sentry, and/or CloudWatch
Fully Remote (onsite in Vinings, GA from Mon-Thurs if converted to FTE). We are seeking a Senior BI Analyst with expertise in Python, SQL, Tableau, and predictive analytics.. You will work with large datasets across SAP and Snowflake environments to deliver strategic insights, with a strong focus on forecasting container arrivals, optimizing inventory levels, and identifying cost-saving opportunities – all in support of a major ERP modernization and the nationwide consolidation of distribution centers.. System Migration : Lead data analysis and reporting for a major migration from a legacy ERP to SAP Warehouse Management, with reporting transitioning to Snowflake.. Python Predictive Analytics : Perform predictive modeling in Python to forecast container arrivals, inventory levels, and other supply chain KPIs.
🚀 Publish, present, and patent high-impact findings in AI and machine learning.. Conduct cutting-edge research in artificial intelligence, including areas such as natural language processing, computer vision, generative models, and reinforcement learning.. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred.. Expertise in machine learning, deep learning, or statistical modeling.. Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks
Design and maintain fraud rules and scoring logic for transaction monitoring systems. Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements. Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection. Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.. Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.)
Global Transaction Advisory Group (TAG). TAG professionals specialize largely in providing financial and accounting buy-side and sell-side due diligence, capital markets and accounting advisory, global transaction analytics, environmental, technical & sustainability (ETS) and other related M&A services for private equity, hedge funds, sovereign wealth, family office and corporate clients around the world. A&M’s Global Transaction Analytics (GTA) practice, within our Transaction Advisory Group, has an exciting opportunity to join a fast-growing team in New York, Atlanta, Boston, Chicago, Dallas, Denver, Houston, Miami, Nashville, Los Angeles and San Francisco.. As a Director in our GTA practice, you will have the opportunity to work with our highly motivated and effective team of professionals on a variety of interesting projects across different industries including but not limited to manufacturing, distribution, consumer, retail, restaurants, business and industrial services as well as healthcare, software & technology, energy and financial services.. Proficiency in Microsoft Excel, relational databases/SQL querying, Alteryx, business intelligence/visualization (Tableau preferred), big data and machine learning concepts
We are seeking a highly motivated and innovative Principal Scientist with specialized expertise in drug discovery to direct our Chemical Induced Proximity Center in the highly collaborative Department of Chemical Biology and Therapeutics.. At St. Jude Children’s Research Hospital, we know what can be achieved when the brightest scientific minds face the fewest barriers.. At St. Jude, we encourage you to dream big and stop at nothing in the pursuit of cures and saving children.. Oversee SAR studies to enhance potency, selectivity, and drug-like properties, collaborating with ADMET and DMPK teams to improve pharmacokinetic, pharmacodynamic, and toxicological profiles.. This senior leadership role focuses on advancing cutting-edge drug discovery for childhood catastrophic diseases, aiming to develop unique chemical approaches such as protein degraders, synthetic gene regulators, or functional effectors to target pediatric oncology, neurodegenerative disorders, and sickle cell disease.