Data Scientist Salary at Aqurate BETA

Job Title - Data Scientist Location - Remote Contract Job Description We are looking for a talented Data Scientist to join our team The ideal candidate will have expertise in both regression techniques and unsupervised machine learning methods You will be responsible for developing and implementing machine learning models to solve complex problems and enhance our data driven decision making processes Key Responsibilities Develop and implement regression models using XGBoost and neural networks Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data Collaborate with crossfunctional teams to understand business requirements and translate them into technical solutions Optimise and finetune machine learning models for performance and scalability Conduct data preprocessing feature engineering and model evaluation Stay uptodate with the latest advancements in machine learning and AI technologies Qualifications Proficiency in Python and SQL is

WE WILL BE ACCEPTING RESUMES FROM NOW UNTIL DECEMBER 2024. INTERVIEWS WILL BEGIN EARLY SPRING 2025 SEMESTER. Data Scientist Internship Location: Charlotte HQ - Charlotte, NC Duration: 8 weeks, in person Start Date: Summer 2025 About Us Grubb Properties is a vertically integrated real estate company with a commitment to Fostering Trust and Collaboration for Collective Success. Guided by our core principles of Respect, Integrity, Customer Focus, Continuous Improvement, and Creating Community, we are dedicated to creating exceptional value for our investors, customers, and the communities we serve. What You'll Do: Are you ready to apply your data skills in the real estate industry? Join our IT team as a Data Scientist Intern and gain hands-on experience in a full-service real estate firm. Collaborate with the IT team to develop and improve data reporting solutions. Analyze large datasets related to property management, tenant behavior, and financial performance. Build data models and gene

Insight Global is seeking a Data Engineer for one of our large retail food service clients. This position will be within the BI & Analytics group supporting unattended retail solutions for clients and consumers across the US. This individual will be responsible for the following: -Develop the comprehensive knowledge required to support existing Production models and forecast solutions -Implement automated processes for efficiently generating and monitoring production forecasting models -Design and creates algorithms, machine-learning models, re-trains and tunes the model for efficiency and scalability in a cloud environment -Develop ad hoc and statistical analysis to determine trends and significant relationships -Develop and validates predictive and prescriptive models to identify opportunity for business improvement -Identifies unique opportunities and strategizes new uses for data; active engagement with the business customer to identify measurable criteria -Present and communicates

Position Overview The Basketball Data Scientist will assist the basketball operations department by utilizing data to provide insights to enhance decision-making across both the front office and the coaching staff. The Basketball Data Scientist will be a part of the Basketball Analytics Department. Core Values The Charlotte Hornets organization embodies the following core values Integrity Teamwork Competitiveness Candor Accountability Resilience In this role you will: Design and develop tools and advanced statistical models to communicate insights to members of the organization Collaborate with other members of the analytics department to creatively bring quantitative-driven research to assist in scouting, front office, coaching, performance, etc. Participate in team meetings and strategy sessions, providing data-driven insights to support player development and game planning Assist in the creation and maintenance of data processes and user-interfaces Other duties as designated by mana

AT A GLANCE RVO Health is building a suite of integrated products that enable data-driven, digital experiences for our brands and partners. You will work with cutting-edge technologies that change how millions of users connect, explore, and work with these brands. As a Senior Data Scientist at RVO Health, you will play a crucial role in designing, implementing, and maintaining our recommendation systems. Where You'll Be To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees to work from our South Charlotte office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. 1101 Red Ventures Dr Fort Mill, SC 29707 What You'll Do Model Development: Use your expertise in machine learning and predictive analytics to design, build, and deploy robust recommendation models. Your work will directly influence the company's decision-making and strategic direction. Engage with

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. (This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position.) BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation s

•Demonstrated experience in designing and implementing complex data systems from the ground up.•Strong experience with programming languages, such as Python, SQL & Spark•Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks•Develop, refine, and optimize Advanced Analytics Solutions using machine learning models to extract insights from complex data sources.•Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R.•Experience with cloud services in AWS and/or Microsoft Azure•Experience with message brokers and event-driven architectures (e.g, MQTT, Kafka, RabbitMQ)•Experience in handling data streams, APIs, events, container orchestration products such as OpenShift, EKS, ECS.•Experience testing, troubleshooting & establishing API connectivity utilizing software documentation and tools such as Postman•Strong experience transforming data using common ETL/ELT

Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights to the world's visionaries and innovators in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our technical solutions - and our methods for creating them - help connect and secure the world. Learn more about what we do and how we do it. Our powerful culture has led to us being independently recognized on Fortune 100's Best Companies List and we are "Great Place to Work" Certified. We're driven, collaborative, ethical, and curious, and we value all ideas, especially bold ones. And our culture extends far beyond our own walls. Our corporate social responsibility efforts support our communities, nurture the next generation of engineers, and promote environmental s