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Data Science Instructor Remote Jobs in New York (NOW HIRING)

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ... environmental science or in public health. To be appointed to Assignment Level II and above ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ... environmental science or in public health. To be appointed to Assignment Level II and above ...

Gartner

Data Analyst

Stamford, CT · On-site +1

Projects will also involve collaboration with the Information Technology and Data Science teams ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Angenex

Remote Junior Data Analyst

Paterson, NJ · Remote

Bachelor's degree in a relevant field (e.g., Business, Marketing, Data Science, or a related field) Excellent analytical and problem-solving skills, detail-oriented, and able to work well within a ...

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Data Science Instructor Remote information

What is the difference between Data Science Instructor Remote vs Data Analyst Remote?

AspectData Science Instructor RemoteData Analyst Remote
Required CredentialsTypically a degree in Data Science, Computer Science, or related field; teaching experienceDegree in Statistics, Mathematics, or related field; analytical skills
Work EnvironmentOnline teaching platforms, educational institutionsRemote data analysis projects, companies, or consulting
Employer & Industry UsageEducational institutions, online course providersBusinesses, finance, healthcare, marketing
Common Search & ComparisonOften compared for teaching roles in data scienceCompared for data analysis roles

While both roles involve working with data, a Data Science Instructor Remote focuses on teaching and curriculum development in data science, whereas a Data Analyst Remote concentrates on analyzing data to inform business decisions. The credentials overlap but differ mainly in job focus and work environment.

What are some common challenges faced by remote data science instructors, and how can they be addressed?

Remote Data Science Instructors often face challenges related to student engagement and communication, as virtual environments can make it harder to gauge comprehension and foster interaction. To address this, instructors can leverage interactive teaching tools, encourage active participation through breakout sessions and live coding, and provide regular, personalized feedback. Additionally, establishing clear communication channels and setting expectations for responsiveness can help bridge the physical distance and create a supportive online learning community.

What does a data science instructor remote do?

A Data Science Instructor Remote teaches students foundational and advanced concepts in data science through online platforms. They develop lesson plans, deliver lectures or workshops, guide students through hands-on projects, and provide feedback on assignments. Instructors also stay current with industry trends to ensure their teaching materials remain relevant. They may interact with students via video calls, forums, and virtual office hours, supporting learners from diverse backgrounds and locations.

What are the key skills and qualifications needed to thrive as a data science instructor remote, and why are they important?

To thrive as a Data Science Instructor (Remote), you need a strong background in data science concepts, programming (Python or R), and a relevant degree or industry experience. Familiarity with data analysis tools like Jupyter Notebook, version control systems like Git, and learning management systems (LMS) is typically required. Outstanding communication, patience, and an ability to explain complex topics clearly help set exceptional instructors apart. These skills ensure students effectively learn analytical techniques and prepare for real-world data science roles in a remote environment.
What are the most commonly searched types of Data Science Instructor jobs in New York? The most popular types of Data Science Instructor jobs in New York are:
What are popular job titles related to Data Science Instructor Remote jobs in New York? For Data Science Instructor Remote jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science Instructor Remote jobs in New York look for? The top searched job categories for Data Science Instructor Remote jobs in New York are:
What cities in New York are hiring for Data Science Instructor Remote jobs? Cities in New York with the most Data Science Instructor Remote job openings:
Data Science Instructor Remote jobs near you

Director of Data & Analytics

Jackpot

New York, NY • On-site, Remote

$170K - $200K/yr

Full-time

Posted 29 days ago

Job description

ABOUT THE ROLE:

We're looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy & Data Officer, you'll build and manage a data organization that powers product development, personalization, experimentation, and business intelligence. You'll have an AI-first mentality in proactively seeking new and innovative ways to embed AI in our data organization.

If you're looking for the opportunity to build a modern data organization from the ground up at a high-growth consumer startup — this may be the perfect role for you.

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify.

WHAT YOU'LL DO:

  • Set the vision and strategy for Data Analytics and Data Science
  • Partner with Data Engineering to modernize our data infrastructure
  • Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability
  • Be the AI thought leader, finding new and innovative ways to leverage AI to improve the business
  • Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction
  • Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making
  • Create dashboards and analytical tools to empower self-service and automate insights
  • Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks
  • Champion data-driven decision-making and raise the data IQ across the company

YOU IDEALLY HAVE:

  • 10+ years of experience across Data Analytics, Data Science, and Data Engineering, with at least 3+ years leading multi-disciplinary data teams.
  • Proven experience owning and scaling a modern data stack (Snowflake/BigQuery, dbt, Airflow, Databricks, Fivetran, etc.).
  • Strong technical proficiency in SQL and Python.
  • Proficiency in leveraging AI across data verticals and an eagerness to continue to learn more
  • Experience building and maintaining production-level data pipelines and ML models.
  • Experience with A/B testing frameworks, causal inference, and experimentation platforms
  • Demonstrated ability to translate sophisticated data concepts into clear, actionable insights.
  • Excellent communication, prioritization, and stakeholder-management skills.
IT'S A BONUS IF YOU HAVE:
  • Background in gaming, lottery, fintech, or other regulated industries
  • Experience with real-time data architectures (Kafka, Kinesis)
  • Experience with consumer personalization systems, recommendation models, or lifecycle optimization
  • Familiarity with MarTech and CDPs (Optimove, Braze, etc)
  • Expertise in LTV modeling, and fraud/risk models
  • Experience in high-growth consumer or tech startups

ABOUT YOU:

  • You work extremely well cross-functionally and are autonomous and proactive in your output
  • You thrive under competing priorities and know how to structure your time and team
  • You have grit, perseverance, and a founder mentality
  • You are solutions-oriented, adaptable, and calm in ambiguity
  • You embrace feedback and continuous learning - you're not a finished product and don't want to be

One of Jackpot's core values is Lifelong Learning. We don't believe we are ever finished products and strongly believe in growing and developing to improve ourselves. If what you've read so far sounds exciting but your experience doesn't quite match what we're looking for, we strongly encourage you to apply anyway! We are committed to building a diverse, inclusive team where everyone can feel proud to contribute to.

WHAT WE CAN OFFER:

  • $170,000-$200,000 base salary + bonus + equity
  • The opportunity to have a voice, say, and "leave your fingerprints" on our product and business
  • A commitment to provide you with the benefits of a start-up career without the start-up pains
  • Benefits on par with leading, progressive tech companies (think 100% employee-only coverage, monthly HSA contribution, mental health offerings, etc.)
  • 401(k)
  • Paid parental leave
  • PTO/Sick Time
  • Dedication to Lifelong Learning through our Monthly Speaker Series
  • A culture of trust and accountability