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Remote Data Mining Jobs in Connecticut (NOW HIRING)

Director, Data Science

Stamford, CT · Remote

  • Medical

  • Retirement

  • PTO

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search ...

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... This is not a pure data scientist role and not only a strategy role. The person should be able to ...

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Sr. Engineer, Data & Analytics

Stamford, CT · On-site +1

$100K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... Data Engineering & Pipelines (Microsoft Fabric) * Design, build, and maintain scalable data ...

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... Data Engineering & Pipelines (Microsoft Fabric) * Design, build, and maintain scalable data ...

Do you thrive on transforming complex data into actionable insights that drive business growth? At Spectrum, you'll use advanced statistical techniques and machine learning to develop impactful ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

Data Engineer II - Snowflake, dbt, AWS

Hartford, CT · On-site +1

$126K - $208K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and ...

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Remote Data Mining information

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

How do I become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or a degree in a related field, can improve your prospects for remote work in this role.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

What are the most commonly searched types of Data Mining jobs in Connecticut? The most popular types of Data Mining jobs in Connecticut are:
What are popular job titles related to Remote Data Mining jobs in Connecticut? For Remote Data Mining jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Remote Data Mining jobs? Cities in Connecticut with the most Remote Data Mining job openings:
Infographic showing various Remote Data Mining job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Remote Conversational Intelligence Analyst

ACC Premiere

Southington, CT • On-site, Remote

$80K - $100K/yr

Other

Posted 5 days ago


Job description

Conversational Intelligence Analyst
A conversational intelligence analyst evaluates customer and agent omni channel interactions using AI and natural language processing to extract intent, sentiment, and behavioral trends that drive business strategy, product development, and operational performance.
We are seeking a data-driven and analytical Conversational Intelligence Analyst to join our innovations team.
In this role, you will uncover actionable insights regarding customer sentiment, operational bottlenecks, and compliance trends. Your findings will directly influence product development, marketing strategies, and customer experience (CX) optimization.
**This is a remote position, but if you live within driving distance of one of our locations, you may be required to come into the office on occasion. This will be discussed with candidates that this applies to.**
Key Responsibilities
  • Data Synthesis: Extract, clean, and organize unstructured conversation logs into structured data frameworks.
  • Insight Generation: Track specific customer pain points, competitor mentions, and product feature feedback using NLP queries.
  • Dashboard Design: Create, maintain, and automate operational dashboards in BI tools (e.g., Tableau, Power BI) to display key performance indicators (KPIs) like customer satisfaction (CSAT) and script adherence.
  • Cross-Functional Collaboration: Partner closely with Customer Support, Product, and Quality Assurance teams to turn conversational data into specific workflow improvements.
  • Model Optimization: Train, refine, and maintain the accuracy of speech-to-text categorization models and automated sentiment rules.

Core Responsibilities
  • Data Mining & Transcription: Convert large volumes of unstructured audio and text logs into clean, searchable data Including creating flags/tags based on search criteria and questions from client teams.
  • Sentiment & Intent Tracking: Identify emotional shifts, customer pain points, and competitor mentions.
  • Dashboard & Report Building: Design operational reporting (often via tools like Tableau/PowerBI) to visualize metrics like script adherence and customer satisfaction (CSAT).
  • Process Optimization: Partner with operations and product teams to translate conversation trends into actionable business changes.

Key Tools & Technologies
  • Speech-to-Text & NLP Engines: Systems like CallMiner
  • Data Visualization: Advanced SQL and BI tools like Tableau or PowerBI.
  • CX Platforms: Enterprise analytics suites from vendors like Medallia or Genesys
  • AI Prompting: Ability to leverage syntax and AI assistants to create prompts.

Required Qualifications
  • Experience: 2-5 years of experience in data analytics, customer experience analytics, or business intelligence.
  • Technical Skills: Strong proficiency in SQL and experience building visualizations in Tableau or Power BI.
  • Platform Knowledge: Experience with speech/text analytics engines (e.g. CallMiner, Medallia, et al).
  • Communication: Ability to translate complex, quantitative datasets into clear, narrative-driven business recommendations for non-technical leadership.

Must be authorized to work in the US - No sponsorship available at this time.
EEO Statement:
ACC Premiere is an equal-opportunity employer. We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, ancestry, age, disability, veteran status, or any other status legally protected by federal, state, or local law.