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Staff Data Scientist

Crunchbase

New York (NY)

Remote

USD 190,000 - 210,000

Full time

14 days ago

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Job summary

Crunchbase is seeking a Staff Data Scientist to enhance its intelligence layer for signals products. The ideal candidate will have extensive experience in data science and machine learning, with a focus on delivering impactful features. This remote-first role offers competitive salary, equity, and benefits, fostering a diverse and inclusive culture.

Benefits

Generous PTO policies
Employee wellness benefits
Competitive salary and equity
Monthly fitness/mental health stipend
Flexible Paid Time Off
Incredible medical, vision, and dental benefits
401(k) and Roth plans
Work from home allowance
Annual carbon offset
Matching charity contributions

Qualifications

  • 6+ years of data science or machine learning experience.
  • Hands-on experience with machine learning projects in production.
  • Strong communication skills to explain complex issues.

Responsibilities

  • Work on data science feature delivery cycle from ideation to production.
  • Develop statistical observations and predictive models.
  • Manage stakeholders and communicate progress effectively.

Skills

Data Science
Machine Learning
Python
SQL
Analytical Skills

Tools

pandas

Job description

Crunchbase helps over 75 million people around the world connect with the companies and people that matter. Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportunities so salespeople, entrepreneurs, investors, job seekers, and others can accelerate innovation for a better future. We’re proud to build intelligent products that shape how companies and people connect and enable them to communicate in a more meaningful way.

We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.

Crunchbase has a remote-first approach, and is open to hiring in residents of these states :

California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington

Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!

Engineering at Crunchbase

The Crunchbase engineering team is a dynamic, fast paced team that is committed to quickly delivering features, evaluating their performance, and iterating towards the product vision shared by the company.

We are organized in vertical teams that include cross-functional engineers as well as functional guilds aimed at working tightly with the product team to deliver high standards code while iterating quickly on features.

We value open and honest communication, and strive to create an environment where opinions and views can be shared and considered in an effort to reach the best decision.

Signals Team at Crunchbase

The Crunchbase Signals Team thrives to provide users with insightful information throughout their experience on Crunchbase platform. By combining Crunchbase, private and behavioral data with machine learning systems, we learn to understand the underlying data needs to best assist their day to day work, we then identify and highlight relevant insights and predictions, eventually build personalized experiences that are uniquely valuable to our users.

The team is composed of Data Scientists, Machine Learning Engineers, Data Engineers working together to deliver models and services into production. We are hiring a hands-on Staff Data Scientist to help shape and build out the intelligence layer for Crunchbase signals products. We are looking to go deeper on the data we have, generating and presenting insights and predictions that help our users better understand our data and offer observations and recommendations specifically tailored to their use-case. The ideal candidate is a creative innovator and an outstanding communicator with strong hands-on skills. They are not only curious about data and what it can teach us, but also care deeply about our users and how to drive an experience that helps them engage with and better utilize our data.

What You Will Do

  • Work on all aspects of the data science feature delivery cycle, from ideating, advocating future data needs, to assisting in model productionisation.
  • Develop statistical observations and predictive or prescriptive machine learning models according to our business needs, data patterns and performance requirements.
  • Bring in a fresh perspective to the problem space and test out ideas quickly.
  • Own the PoC execution plan for multiple projects in parallel and carry out rapid experiments autonomously with the team.
  • Manage stakeholders for their focus area efficiently - gather changing product requirements, define problem spaces, bring clarity to roadmaps and milestones, and communicate progress and results to a non-technical audience.
  • Help drive the vision of Crunchbase predictive engine and turn our vision into product features.
  • Contribute to define and enhance our machine learning experimentation capabilities.
  • Help establish processes and best practices to help grow our data science guild.

Who You Are

  • You have 6+ years of data science, machine learning or advanced quantitative analytics industry experience or equivalent in high growth companies.
  • You are an excellent communicator and able to explain complex issues to stakeholders in simple terms.
  • You like to understand the product and deliver meaningful features that drive the business forward.
  • You like to be hands-on and highly efficient in Python
  • You are familiar with an array of analytics and data tools (e.g SQL, pandas etc).
  • You iterate fast and love trying different approaches rapidly.
  • You have hands-on experience on shipping machine learning based projects in production and delivering significant impact to customers.
  • You care about agile software, cross teams collaborations and data driven development and evaluation.
  • You are a big believer in Build-Measure-Learn methodology.
  • Prior experience with building predictive analytics products is a plus.
  • Industry experience with NLP is a plus.

You may also be entitled to receive equity and benefits.Salary Range$190,000—$210,000 USD

What Crunchbase Offers :

  • Competitive salary and equity
  • Remote first policy
  • Generous Reimbursement policy for learning and development activities
  • Monthly fitness / mental health stipend
  • 14 weeks of fully-paid time off for new parents
  • Flexible Paid Time Off (PTO)
  • Incredible medical, vision and dental benefits for employees and their families
  • 401(k) and Roth plans, and free annual financial adviser check-in
  • Monthly internet stipend
  • Work from home allowance to purchase furniture for your work from home space
  • Annual carbon offset
  • Matching charity contributions for our Townhall awards
  • A team of creative, transparent entrepreneurs driven to accomplish our mission

At Crunchbase, we value team members who are passionate and enthusiastic about what we're building here. We believe there is no "perfect" candidate, and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application! Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. We will consider for employment qualified applicants with arrest and conviction records. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.

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