clinical case manager salaries in charlotte, north carolina

job summary: Job Overview As a Data Scientist within the telecommunications industry, you will take ownership of complex data initiatives to drive strategic business outcomes. In this role, you will design and implement advanced statistical models, collaborate with IT professionals, and extract actionable insights to solve critical business challenges. By leveraging cutting-edge tools and data mining techniques, you will deliver transformative solutions that create measurable value for the organization. Key Responsibilities Analyze and transform vast datasets to uncover patterns, trends, and actionable insights that drive business decisions.Develop and deploy advanced statistical models tailored to organizational goals.Collaborate closely with IT teams and cross-functional stakeholders to design data-driven strategies.Apply expertise in data mining techniques such as clustering, regression analysis, decision trees, and support vector machines to solve complex problems.Leverage advanced methods, including collaborative filtering, k-nearest neighbors, market basket analysis, and matrix factorization, to enhance predictive accuracy.Streamline research findings into clear, actionable plans for diverse audiences.Ensure compliance with data privacy regulations and industry standards to maintain trust and integrity.Utilize cutting-edge technologies, including high-performance computing systems and proprietary software, to optimize data processing and analysis.Build and maintain professional networks with internal and external partners to stay ahead of industry advancements. Qualifications Experience: 10+ years in data science or similar, preferably within IT or telecommunications.Technical Expertise: Proven track record with advanced data mining techniques, including clustering, regression analysis, decision trees, and support vector machines.Analytical Skills: Exceptional problem-solving abilities with a focus on deriving actionable insights from complex data.Communication: Superior written and verbal communication skills, enabling you to effectively present findings to technical and non-technical audiences.Technical Tools: Proficiency with high-performance computing systems, proprietary software applications, and statistical modeling tools.Compliance Knowledge: strong understanding of data privacy laws and industry guidelines. Preferred Skills Demonstrated success in the telecommunications industry.Familiarity with cutting-edge tools, including collaborative filtering, market basket analysis, and matrix factorization methodologies.   location: CHARLOTTE, North Carolina job type: Contract salary: $70 - 80 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Job Overview As a Data Scientist within the telecommunications industry, you will take ownership of complex data initiatives to drive strategic business outcomes. In this role, you will design and implement advanced statistical models, collaborate with IT professionals, and extract actionable insights to solve critical business challenges. By leveraging cutting-edge tools and data mining techniques, you will deliver transformative solutions that create measurable value for the organization. Key Responsibilities Analyze and transform vast datasets to uncover patterns, trends, and actionable insights that drive business decisions.Develop and deploy advanced statistical models tailored to organizational goals.Collaborate closely with IT teams and cross-functional stakeholders to design data-driven strategies.Apply expertise in data mining techniques such as clustering, regression analysis, decision trees, and support vector machines to solve complex problems.Leverage advanced methods, including collaborative filtering, k-nearest neighbors, market basket analysis, and matrix factorization, to enhance predictive accuracy.Streamline research findings into clear, actionable plans for diverse audiences.Ensure compliance with data privacy regulations and industry standards to maintain trust and integrity.Utilize cutting-edge technologies, including high-performance computing systems and proprietary software, to optimize data processing and analysis.Build and maintain professional networks with internal and external partners to stay ahead of industry advancements. Qualifications Experience: 10+ years in data science or similar, preferably within IT or telecommunications.Technical Expertise: Proven track record with advanced data mining techniques, including clustering, regression analysis, decision trees, and support vector machines.Analytical Skills: Exceptional problem-solving abilities with a focus on deriving actionable insights from complex data.Communication: Superior written and verbal communication skills, enabling you to effectively present findings to technical and non-technical audiences.Technical Tools: Proficiency with high-performance computing systems, proprietary software applications, and statistical modeling tools.Compliance Knowledge: strong understanding of data privacy laws and industry guidelines. Preferred Skills Demonstrated success in the telecommunications industry.Familiarity with cutting-edge tools, including collaborative filtering, market basket analysis, and matrix factorization methodologies.   qualifications: Experience level: ExperiencedMinimum 10 years of experienceEducation: Bachelors  skills: Data AnalysisData WarehouseSQL ServerBusiness IntelligenceData AnalysisBusiness ObjectsMongoDB Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.

job summary: Resource will be responsible for end-to-end development covering Financial Attribution, SCD, Booking and Referring Agreements, Data Aggregrations, and System of Record Onboarding. This will be a large data modernization effort for a custom pyspark metrics engine requiring Pyspark, Python, Dremio, ETL, Financial experience   location: Charlotte, North Carolina job type: Contract salary: $54 - 58 per hour work hours: 8am to 4pm education: Bachelors   responsibilities: Resource will be responsible for end-to-end development covering Financial Attribution, SCD, Booking and Referring Agreements, Data Aggregrations, and SOR Onboarding   qualifications: Experience level: ExperiencedEducation: Bachelors  skills: Python Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.

job summary: Resource will be responsible for end-to-end development covering Financial Attribution, SCD, Booking and Referring Agreements, Data Aggregrations, and System of Record Onboarding. This will be a large data modernization effort for a custom pyspark metrics engine requiring Pyspark, Python, Dremio, ETL, Financial experience   location: Charlotte, North Carolina job type: Contract salary: $65 - 68 per hour work hours: 8am to 4pm education: Bachelors   responsibilities: Resource will be responsible for end-to-end development covering Financial Attribution, SCD, Booking and Referring Agreements, Data Aggregrations, and SOR Onboarding   qualifications: Experience level: Education: Bachelors  skills: Python Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.