Data Scientist / Analytics Engineer 14++ Needed
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Synergyassure, Inc
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Job Details
Skills
- Information Technology
- Scripting
- Data Science
- Data Quality
- Requirements Analysis
- Big Data
- Data Analysis
- Machine Learning
- Attention to Detail
- Algorithms
- Analytical Thinking
- Communication Skills
- Databases
- Problem Solving
- Self Motivation
- Creating Prototypes
- Python (Programming Language)
- Cluster Analysis
- Passionate
- Extract Transform Load (ETL)
- Success Driven Person
- Customer Experience
- Customer Service
- Curiosity
- Project Planning
- Computer Programming
- Distributed Systems
- Data Processing
- Business Relationship Management
- Hard Work and Dedication
- Knowledge of Statistics
- Rapid Learning
- Confidentiality
- Data Stores
- Independent Studies
- Model Validation
- Artificial Neural Networks
- Decision Trees
- Operations Research
- Time Series
Summary
Hello Professionals,
Job Title: Data Scientist / Analytics Engineer 14+ Needed
Company: Charter Communications
Company: Charter Communications
Location: Charlotte NC Onsite
Onsite
JOB SUMMARY
Responsible for developing data-driven solutions to Charter's business problems. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
Responsible for developing data-driven solutions to Charter's business problems. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
MAJOR DUTIES AND RESPONSIBILITIES:
Actively and consistently support all efforts to simplify and enhance the customer experience.
Execute the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization.
Leverage knowledge in analytical and statistical algorithms to help stakeholders explore methods to improve their business.
Utilize experience and feedback to recommend options during the development/research/analysis phase.
Lead large-scale exploratory data analyses for new data sources or new uses for existing data sources.
Establish links across existing data sources and find new, interesting data correlations.
Plan effectively to ensure analytics products with flexible, modular, and reusable code base.
Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders and explain the importance of patterns in the data.
Assist in creating project plans to help team achieve defined project goals within deadlines.
Proactively communicate status and escalate issues as needed.
REQUIRED QUALIFICATIONS
Required Skills / Abilities / Knowledge
Ability to read, write, speak and understand English.
Outstanding interpersonal, communication and stakeholder relationship skills able to work effectively with customers from developers and operations personnel through senior management.
Self-motivated, results-driven, and able to work with minimum supervision.
Intellectually curious.
Experience using a data science toolkit such as Python or R.
Extensive experience with analytical and statistical software.
Passionate about data maintenance, data quality control and other important data analysis techniques.
Strong analytical and problem-solving skills with attention to detail and data accuracy.
Familiarity with major machine learning techniques:
Regression
Decision Trees
Clustering
SVMs
Neural Networks
Time Series
Strong verbal and written communication skills.
Strong relationship management and customer service skills.
Ability to work cross-functionally.
Ability to perform independent research and analysis.
Ability to maintain confidentiality and handle sensitive information.
Willingness to learn and develop expertise outside comfort zone.
Experience using a data science toolkit such as Python or R.
Extensive experience with analytical and statistical software.
Passionate about data maintenance, data quality control and other important data analysis techniques.
Strong analytical and problem-solving skills with attention to detail and data accuracy.
Familiarity with major machine learning techniques:
Regression
Decision Trees
Clustering
SVMs
Neural Networks
Time Series
Strong verbal and written communication skills.
Strong relationship management and customer service skills.
Ability to work cross-functionally.
Ability to perform independent research and analysis.
Ability to maintain confidentiality and handle sensitive information.
Willingness to learn and develop expertise outside comfort zone.
Required Education
Bachelor's degree in:
Computer Science
Bachelor's degree in:
Computer Science
Statistics
Operations Research
OR equivalent combination of education and experience.
Operations Research
OR equivalent combination of education and experience.
Required Experience
5 years of Data manipulation and statistical modeling experience as a Scientist, Consultant, Architect, DBA, or Engineer.
5 years of Programming experience.
5 years of Data manipulation and statistical modeling experience as a Scientist, Consultant, Architect, DBA, or Engineer.
5 years of Programming experience.
PREFERRED QUALIFICATIONS:
Preferred Skills / Knowledge
Experience with scripting, analysis, or ETL languages.
Ability to quickly learn new languages or techniques.
Extensive experience working with large datasets.
Experience with tools to obtain, transform, and store data in Big Data and streaming services.
Experience with distributed computing tools such as:
Hadoop
Map/Reduce
Preferred Skills / Knowledge
Experience with scripting, analysis, or ETL languages.
Ability to quickly learn new languages or techniques.
Extensive experience working with large datasets.
Experience with tools to obtain, transform, and store data in Big Data and streaming services.
Experience with distributed computing tools such as:
Hadoop
Map/Reduce
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.
- Dice Id: 91162568
- Position Id: 2026-272
- Posted 16 days ago
Company Info
Synergyassure is dedicated to provide comprehensive technology solutions and guidance to businesses across various industries. With a wealth of expertise and a team of highly skilled professionals, we empower organizations to navigate the rapidly evolving digital landscape and leverage technology for enhanced productivity, efficiency, and growth.
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