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Marketing Data Scientist Jobs in Connecticut

Marketing Data Scientist Jobs
By Excelligence Learning Corporation At Shelton, CT, United States
Strong experience in data analysis, data mining, and statistical modeling techniques.
Excellent problem-solving skills and ability to translate complex data into actionable insights.
Strong communication skills to effectively present findings and recommendations to both technical and non-technical stakeholders.
Proven ability to work in a collaborative, cross-functional environment and manage multiple projects simultaneously.
Prior experience in an ecommerce or retail environment is preferred.
Develop predictive models and segmentation strategies to optimize targeting and personalization efforts.
Data Scientist Jobs
By Indium Software At Stamford, CT, United States

Job Description: Ø Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of ...

Data Scientist 3 Jobs
By Oracle At , , Ct

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services ...

Data Scientist - Digitalization, Trading & Origination
By Statkraft At Stamford, CT, United States

We are looking for a Data Scientist with prior system engineering skills to join our exciting and forward-thinking Quantitative Development team. The role will be a fundamental part of this ...

Data Scientist Jobs
By Signify Technology At Connecticut, United States
4+ years of data science experience
Ideally experienced with Ruby or Python
Experience with AWS, Azure, and/or GCP
Experience with Tensorflow or PyTorch
Build and integrate AI/ML/DS tools
Build out NLP and OCR tools
Data Scientist Jobs
By DeepLogica At Shelton, CT, United States
Required Education, Qualifications and Experience
2-3 years of experience in quantitative analytics of data modeling.
Passionate self-starter, able to prioritize tasks and manage time effectively.
Collecting, cleaning, and transforming large datasets for downstream processing.
Design accurate and scalable prediction algorithms
Develop statistical and machine learning models to extract insights and predictions from data.

Are you an analytical problem solver with a passion for data? We are looking for a Marketing Data Scientist to join our team and help us unlock the potential of our data. You will be responsible for developing and implementing data-driven strategies to improve our marketing efforts and drive customer engagement. If you are a creative thinker with a knack for uncovering insights from data, this is the perfect opportunity for you!

A Marketing Data Scientist is a professional who uses data to inform marketing decisions and strategies. They analyze customer data, market trends, and other data sources to identify opportunities for improvement and growth.

What is Marketing Data Scientist Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and software
• Ability to interpret and communicate data
• Knowledge of marketing principles and strategies
• Ability to work independently and collaboratively
• Excellent communication and interpersonal skills

What is Marketing Data Scientist Qualifications?

• Bachelor’s degree in a related field such as mathematics, computer science, or statistics
• Master’s degree in a related field such as data science, analytics, or marketing
• Experience in data analysis and marketing
• Knowledge of marketing automation tools
• Knowledge of data visualization tools

What is Marketing Data Scientist Knowledge?

• Knowledge of marketing principles and strategies
• Knowledge of data analysis techniques and software
• Knowledge of marketing automation tools
• Knowledge of data visualization tools
• Knowledge of customer segmentation and targeting
• Knowledge of predictive analytics

What is Marketing Data Scientist Experience?

• Experience in data analysis and marketing
• Experience in customer segmentation and targeting
• Experience in predictive analytics
• Experience in marketing automation
• Experience in data visualization
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