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Remote Climate Data Scientist Jobs in Indiana (NOW HIRING)

As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English. Responsibilities * Act as the founding Data Scientist on the product ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

AI Data Architect

Indianapolis, IN · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Partner with AI engineers, data scientists, and business leaders to align data architecture with ...

... clinical data and analyses powering next-generation AI systems meet the same exacting standards ... This is a fully remote, flexible contract role built for experienced clinical scientists who want ...

The position is remote, but you need to live locally to come onsite periodically for meetings. Required Skills & Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

The position is remote, but you need to live locally to come onsite periodically for meetings. Required Skills & Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

This is a fully remote, flexible contract role designed for experienced data professionals with a background in life sciences, genomics, or healthcare analytics. Your domain expertise will directly ...

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101.40K - $152.10K/yr

Data Technical Specialist - Remote Apply now Date: May 11, 2026 Location: Richmond, IN, US, 47374 ... Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ...

... data science, and data governance. Fully remote and hybrid work options are available. For full consideration, an attached resume and cover letter are required. This posting represents multiple ...

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Remote Climate Data Scientist information

What are the key skills and qualifications needed to thrive as a Remote Climate Data Scientist, and why are they important?

To thrive as a Remote Climate Data Scientist, you need a strong background in climate science, statistics, and data analysis, typically supported by an advanced degree in environmental science, data science, or a related field. Expertise in programming languages like Python or R, experience with climate modeling tools, and familiarity with cloud-based data platforms are commonly required. Strong problem-solving abilities, self-motivation, and clear communication are critical for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate climate predictions, effective teamwork across locations, and valuable contributions to climate research and policy.

How do Remote Climate Data Scientists typically collaborate with team members and stakeholders across different time zones?

Remote Climate Data Scientists often work with multidisciplinary teams that may be distributed globally. Effective collaboration relies on clear communication through digital channels like Slack, video meetings, and project management tools. Regularly scheduled check-ins, shared documentation, and flexible work hours help ensure everyone stays aligned despite time zone differences. Being proactive in sharing progress updates and seeking feedback is key to successful teamwork in this remote, international environment.

What is a Remote Climate Data Scientist?

A Remote Climate Data Scientist is a professional who analyzes large sets of climate-related data, often from various sources such as weather stations, satellites, and climate models, to uncover trends and provide insights about climate change. They work remotely, using advanced statistical and machine learning techniques to interpret data and make predictions that can inform policy, research, and business decisions. Their work helps drive understanding of environmental patterns, supports climate resilience planning, and contributes to scientific publications or organizational strategy. Being remote, they collaborate with teams and stakeholders virtually, utilizing digital tools to communicate and share findings.

What is the difference between Remote Climate Data Scientist vs Remote Environmental Data Analyst?

AspectRemote Climate Data ScientistRemote Environmental Data Analyst
Required CredentialsDegree in Climate Science, Data Science, or related field; proficiency in Python, R, GIS toolsDegree in Environmental Science, Data Analysis, or related; skills in statistical software and data visualization
Work EnvironmentResearch institutions, climate-focused organizations, government agenciesEnvironmental consulting firms, NGOs, government agencies
Industry UsageClimate modeling, policy analysis, sustainability projectsEnvironmental impact assessments, resource management, conservation projects

The main difference is that Remote Climate Data Scientists focus on climate-specific data modeling and analysis, often involving climate change projections, while Remote Environmental Data Analysts work on broader environmental issues like resource management and conservation. Both roles require strong data skills and often overlap in work environment and credentials, but their focus areas differ within the environmental sector.

What are the most commonly searched types of Climate Data Scientist jobs in Indiana? The most popular types of Climate Data Scientist jobs in Indiana are:
What are popular job titles related to Remote Climate Data Scientist jobs in Indiana? For Remote Climate Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Climate Data Scientist jobs in Indiana look for? The top searched job categories for Remote Climate Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Remote Climate Data Scientist jobs? Cities in Indiana with the most Remote Climate Data Scientist job openings:

Data Scientist

Authenticx

Indianapolis, IN • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Position Summary
Our ideal candidate will spend most of the time developing machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an engineer eager to grow and contribute to scalable, reliable services in a mission-driven environment. You will work alongside experienced engineers who deliver production grade models into our SaaS platform in a highly regulated environment. Your responsibility will be to build and train models, deploy model pipelines, and implement a variety of algorithms to extract insights from unstructured data. If needed, you will also troubleshoot and provide technical solutions to resolve issues. Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too.
As a Data Scientist at Authenticx, your responsibilities will include:
  • Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics.
  • Analyzing structured and unstructured data and building predictive models using a variety of approaches.
  • Searching through large data sets and transforming data for analysis
  • Creating reports and presentations to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
  • Document and maintain codebase standards, contributing to ongoing quality and reliability improvements.

Key Metrics
  • Delivery of assigned feature work on time and within quality standards.
  • Consistent adherence to code review and documentation standards.
  • Resolution of assigned defects and production issues within established SLAs.
  • Contribution to overall system reliability, uptime, and performance goals.
  • Demonstrated growth in technical proficiency and cross-team collaboration.

Qualifications
The ideal Data Scientists possesses the following skills & qualifications:
Basic Qualifications:
  • S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field
  • 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.
  • Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing
  • Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
  • Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
  • Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
  • Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
  • Experience with SQL, databases, and other data management tools
  • Ability to work independently and with team members from different backgrounds
  • Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
  • Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns

Preferred Qualifications:
  • Software-as-a-service (SaaS) and/or healthcare industry experience
  • Familiarity with Cloud Technologies, Docker, and Kubernetes.
  • Experience with tools for experiment tracking and model management.
  • Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
  • Experience with Agentic models and workflows is a plus.

Work Environment
  • This is a remote/virtual position.
  • You must live in the United States of America.
  • You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
  • Occasional travel to Indianapolis may be required (approximately 2-4 times per year) based on business needs.