What are the responsibilities and job description for the Data Scientist position at ClinDCast LLC?
Job Details
Job Description
Job Description
Job Title: Data Scientist
Position Summary:
We're seeking a Data Scientist to analyze large datasets, develop predictive models, and drive data-driven decision-making across the organization.
Key Responsibilities:
Analyze complex datasets to identify trends and insights
Develop and implement predictive models and machine learning algorithms
Create data visualizations and dashboards
Collaborate with cross-functional teams to translate business needs into data solutions
Ensure data quality and integrity
Stay current with industry trends in data science
Qualifications:
Bachelor's degree in Data Science, Computer Science, Statistics, or related field (Master's preferred)
12-15 years of experience in data science or related roles
Proficiency in Python, R, or SQL
Experience with data visualization tools (e.g., Tableau, Power BI)
Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn)
Strong analytical and problem-solving skills
Excellent communication and presentation abilities
Experience with big data technologies (e.g., Hadoop, Spark) is a plus
Knowledge of statistical analysis and modeling techniques
Experience in developing analytical documentation for ongoing projects
Position Summary:
We're seeking a Data Scientist to analyze large datasets, develop predictive models, and drive data-driven decision-making across the organization.
Key Responsibilities:
Analyze complex datasets to identify trends and insights
Develop and implement predictive models and machine learning algorithms
Create data visualizations and dashboards
Collaborate with cross-functional teams to translate business needs into data solutions
Ensure data quality and integrity
Stay current with industry trends in data science
Qualifications:
Bachelor's degree in Data Science, Computer Science, Statistics, or related field (Master's preferred)
12-15 years of experience in data science or related roles
Proficiency in Python, R, or SQL
Experience with data visualization tools (e.g., Tableau, Power BI)
Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn)
Strong analytical and problem-solving skills
Excellent communication and presentation abilities
Experience with big data technologies (e.g., Hadoop, Spark) is a plus
Knowledge of statistical analysis and modeling techniques
Experience in developing analytical documentation for ongoing projects
Work remote temporarily due to COVID-19.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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