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Remote Data Scientist Deep Learning Jobs in Indiana

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Remote Duration: Contract - 12 months Pay Range: $68 - $71/hr W2 all inclusive Job ID: 373498 About ... Apply advanced statistical modeling, machine learning, and NLP to customer support interactions to ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Deep expertise in one or more of: streaming systems, data warehousing, data modeling, or large ...

The ideal candidate brings deep technical expertise and systems thinking to architect modern data ... Bachelor's degree in related area (Computer Science, Information Systems, or other related field ...

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ...

Deep knowledge of data representation (graphs, tables, diagrams), research summaries (experimental ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Deep knowledge of data representation (graphs, tables, diagrams), research summaries (experimental ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Remote Data Scientist Deep Learning information

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

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
What are the most commonly searched types of Data Scientist Deep Learning jobs in Indiana? The most popular types of Data Scientist Deep Learning jobs in Indiana are:
What are popular job titles related to Remote Data Scientist Deep Learning jobs in Indiana? For Remote Data Scientist Deep Learning jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Data Scientist Deep Learning jobs? Cities in Indiana with the most Remote Data Scientist Deep Learning job openings:

Data Engineer/Senior Data Engineer, Data and Science

Aircall

Francisco, IN โ€ข On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
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Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
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Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
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How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

About the role
The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
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In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.ย  ย ย 
Responsibilities
  • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
  • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
  • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
  • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
  • Participate in code reviews to ensure code quality and share knowledge.
  • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
  • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.ย 
  • Collaborate with applied scientists, data scientists, analysts and other business stakeholdersย  to drive efficiencies for their work, supporting complex data processing, storage and orchestration
A little more about you:
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
  • Proficient in SQL and Python, with the ability to translate complexity into efficient code.
  • Experience with data workflow development and management tools (dbt, Airflow).
  • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
  • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
  • Experience with data tooling, data governance, business intelligence and data privacy is a plus.
$130,000 - $200,000 a year
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
Why join us?
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Key moment to join Aircall in terms of growth and opportunities
Our people matter, work-life balance is important at Aircall
Fast-learning environment, entrepreneurial and strong team spirit
45+ Nationalities: cosmopolite & multi-cultural mindset
Competitive salary package & benefits
Medical, dental, and vision insurance is 100% covered
ย 401k plan with company matching!
ย Unlimited PTO - take the time you need to come to work feeling great!
ย Wellness, commuter, and childcare reimbursements
ย Generous parental leave policy
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DE&I Statement:ย 
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey.ย 
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We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.ย ย 
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We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
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Want to know more about candidate privacy? Find ourย Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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