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Octapharma Plasma
Charlotte, NC, United States
Data Scientist Job Functions: The Data Scientist position will sit onsite at our new corporate office in Steele Creek, Charotte North Carolina. No work-sponsorship offered for this position at this time. This is a full-time position. Implementing Machine Learning platforms, such as MS Azure, from the ground up. Use advanced data modeling and analy
Job Source: Octapharma PlasmaDiverse Lynx
Charlotte, NC, United States
Roles & Responsibilities : Job Description Cybersecurity is seeking a Sr Data Scientist to join the Cyber Analytics and Data Science team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our Cyber Security mission. This role is a key contributor to our prac
Job Source: Diverse LynxRVO Health
Charlotte, NC, United States
AT A GLANCE We are looking to hire a Data Scientist to join our RVO Health data science team. We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions
Job Source: RVO HealthOdyssey Logistics
Charlotte, NC, United States
See yourself at Odyssey. Join the team as our new Data Scientist! Who We Are & Why We’re Hiring Odyssey Logistics & Technology Corporation (Odyssey) is a global logistics provider. Our adaptive approach to solving modern logistics challenges differentiates us in the markets we serve. Odyssey Logistics & Technology’s specialized multimodal experti
Job Source: Odyssey LogisticsInsight Global
Charlotte, NC, United States
Job Description 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 sup
Job Source: Insight GlobalRyan Consulting Group
Charlotte, NC, United States
Job Description Job Description Title: Data Scientist Position Objective: We are seeking a highly skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will be passionate about leveraging data-driven insights to solve complex business problems. The Data Scientist will play a key role in designing and implementing adva
Job Source: Ryan Consulting GroupOctapharma
Charlotte, NC, United States
Data Scientist Job Functions: The Data Scientist position will sit onsite at our new corporate office in Steele Creek, Charotte North Carolina. No work-sponsorship offered for this position at this time. This is a full-time position. Implementing Machine Learning platforms, such as MS Azure, from the ground up. Use advanced data modeling and analy
Job Source: OctapharmaInsight Global
Charlotte, NC, United States
Job Description 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 sup
Job Source: Insight GlobalCharlotte, NC, United States
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate will play a crucial role in driving data-driven decision-making processes, with a focus on marketing mix modeling, database management, and advanced analytics. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
If you are passionate about leveraging data to drive business decisions and thrive in a collaborative, fast-paced environment, we encourage you to apply and be part of our innovative team.
Requirements
Roles & Responsibilities
Qualifications:
Proven experience in marketing mix modeling and database management.
Strong proficiency in SQL, Python, R, and other relevant programming languages.
Experience with big data technologies and data warehousing.
Demonstrated expertise in constructing and optimizing data pipelines.
Knowledge of cloud services and their application in data science.
Familiarity with version control systems.
Solid understanding of machine learning, deep learning, and natural language processing.
Excellent communication skills with the ability to translate complex findings into actionable insights.
Data Science Skills:
Marketing Mix Modeling - Develop and implement advanced statistical models to analyze and optimize marketing performance and collaborate with marketing teams to identify key performance indicators and establish metrics for measuring marketing effectiveness.
Database Management - Design and maintain databases for efficient data storage and retrieval while ensuring data integrity, security, and availability.
Data Modeling - Create robust data models to support business requirements and analytical needs by working closely with cross-functional teams to understand data needs and design appropriate models.
Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis.
Data Quality and Cleansing - Establish and enforce data quality standards and implement processes for data cleansing and validation.
Machine Learning and Deep Learning - Apply machine learning and deep learning techniques to solve complex business problems.
Tools and Technologies
Utilize language such as SQL, Python, and R for data analysis, manipulation, and visualization
Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage.
Implement natural language processing techniques for text data analysis and understanding.
Nice To Haves
Implement solutions using big data technologies such as Hadoop, Spark, and others to handle large-scale datasets.
Engineer features from raw data to improve model performance.
Stay abreast of the latest advancements in the field and apply them to enhance predictive modeling.
Familiarity with analytics platforms such as Adobe Analytics or Google Analytics
Ability to understand analytics and web based language and applications.
Benefits
Paid Time Off
Summer Fridays
Health Insurance
Profit Sharing Program
Latest MacBook Pro
Matching 401K
Professional Development
Remote work weeks
Hybrid work schedule
Data Scientist jobs in Charlotte, NC, United States
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