Data Scientist I - Telecommute Opportunity



Data Science
Remote · United States
Posted on Friday, August 11, 2023

Who we are:

Dataminr, the world’s leading real-time information discovery platform, delivers the earliest warnings on high-impact events, emerging risks and other critical business information far in advance of other sources. Recognized as one of the world’s leading AI businesses, Dataminr enables faster response, more effective risk mitigation and stronger crisis management for public and private sector organizations spanning global corporations, first responders, NGOs and newsrooms. Most recently valued at $4.1B, Dataminr serves more than two-thirds of the Fortune 50 and half of the Fortune 100 companies and over 650 newsrooms worldwide.

Who you are:

We’re looking for a Data Scientist I to be responsible for designing, implementing, and evaluating AI solutions for internal and external stakeholders. Conduct applied research on incorporating state-of-the-art AI techniques into Dataminr research and applications. Lead the development of innovative data visualization and analytical prototypes for rapid product iterations. Other duties include: fast AI model prototyping and evaluation, cross-functional data analytics, foundational research on Natural Language Processing and Statistical Modeling, and mentoring of junior employees and interns. May telecommute from any location in the U.S.

Required Skills & Experience:

  • This position requires a Master’s degree or equivalent in Data Science, Computer Science, or a related field.

  • Must also have demonstrated experience with each of the following:

  • 1) Developing software libraries for statistical modeling using Python, and/or other scripting languages;

  • 2) Developing Deep Learning models for real-world problems using state-of-the-art frameworks (e.g, Pytorch, Tensorflow);

  • 3) Developing machine learning models on social media data (e.g. Twitter, Glassdoor, Weibo) following research best practices;

  • 4) Implementing interactive and effective data visualization prototypes for internal and future external use; and

  • 5) Training AI models to detect events and performing large scale data analysis as well as running large-scale experiments.

  • Will accept experience gained before, during, or after Master’s program.

  • Will accept experience gained concurrently.

  • Salary: $108,306 to $132,000/year.

  • Full-time, position may telecommute from any location in the U.S.

  • HQ in New York, NY.

  • Please apply online at

Why you should work here:

At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations respond to fast-emerging events as they unfold. We are 850 talented individuals, spanning seven global offices, united by our passion to use AI for the greater good and be agents of positive change in our company and in our communities.

We offer a competitive benefits package aimed at keeping you healthy and happy:

  • Company paid medical, dental and vision insurance for employees and their dependents

  • Generous PTO, unlimited sick days and remote working options

  • Paid parental leave and family forming benefits

  • Company equity (RSUs)

  • Reimbursements for mental health and wellness apps

​At Dataminr, we serve a global community made up of many cultures and strive to reflect the diversity of the world in which we live. We stand for social justice and we lead with empathy. We foster a culture of allyship, standing up for those who face systemic barriers to equality. We actively condemn racism and discrimination in any form.

We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, individual learning and development funds, and more.

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.