595 Senior Data Scientist Jobs in New York, NY
PAVE is Hiring a Senior Data Scientist Near New York, NY
How are we going to get there? By building the most intelligent compensation platform, powered by the largest real-time compensation dataset on earth.
We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time. And you don’t have to just hear it from us — you can hear it from our customers: Hover, Plaid, Fanduel and more!
We’re growing fast, building an incredible team and product, and having plenty of fun as we do it in our San Francisco and New York City offices.
If operating with intellectual honesty, playing to win, and focus on upholding a platinum standard sounds exciting - we highly encourage you to reach out. We’d love to partner on our journey to change the world of compensation!
Data Science @ Pave
Data is truly at the heart of what we do here at Pave. So, it’s no surprise that Pave Data Scientists are integral collaborators and strategic owners with company-wide impact. Our team members build data infrastructure, create and deploy ML models, define and evaluate metrics, and help create the tools our customers use to understand our unique data set.
How you'll contribute: We’re looking for a Senior Data Scientist to join our Market Data Team. The Market Data Teams prototypes and builds brand new data products, as well as leveraging data to improve our existing ones. You’ll partner with Product Managers and go-to-market leaders to understand user needs, partner with Design to create early prototypes and explorations, then work with our Software Engineering team to scale your insights into high quality, compelling user-facing products.
The ideal fit for this role is someone who enjoys creating and innovating with data, is passionate about metrics and methods, and who is able to balance the need for technical complexity with user-facing simplicity. This person has a deep technical toolkit, but also knows that the highest value data products are not always the most complex.
Required skills and experience:
- Have a Bachelors or other advanced degree in a quantitative discipline: statistics, operations research, social science, computer science, engineering, mathematics, economics, etc.
- 4 years of experience in a Data Science role, preferably at a technology company.
- Expert data manipulation skills with a proficiency in SQL.
- Expert in statistical modeling with Python or R (e.g., clustering, regression, time series, Bayesian statistics).
- Strong data intuition and creativity: you are able to design creative, useful, and accurate metrics, and have strong intuitions about where metrics go wrong.
- Strong analytical problem solving skills: you have the ability to translate qualitative business questions into quantitative solutions.
- Product- and business-minded: you enjoy using data to solve user pain points and business problems.
- Strong ability to communicate technical outcomes to cross-functional audiences.
- Ability to navigate (and bring structure to) ambiguity, with the ability to bring a project from 0 to 1.
(But not required!)
- Experience evaluating the performance of ML models (not that this is not an ML-specific role, but you will work closely with ML Engineers).
- Experience with data transformations using dbt.
- Experience building customer-facing data products.
- Experience working with product managers, engineers, and/or designers.
Pave's salary range for this position
$205,700—$242,000 USD
Our Compensation PhilosophyPave’s compensation philosophy is to target the 75th percentile of the market for both cash and equity at your job level. This means that the “mid point” of every band at Pave is the 75th percentile of the broader market.
Pave also has a merit-based philosophy when it comes to compensation increases. We run a performance cycle twice per year to evaluate employees’ performance. Higher than average performance ratings result in compensation increases to the upper end of the individual’s compensation range for their role. The result is that high performers at Pave are paid above the 75th percentile of the market at large.
Pave is committed to pay equity. If you get an offer from Pave, it will be based on your level as determined by your interview performance. And nothing else. We explicitly do not negotiate salary and equity to ensure that we aren’t introducing bias that could lead to pay inequities within the team between candidates who have different negotiation tactics.
FAQ’s: How big is Pave today? We were founded in late 2019, and have grown to 160 employees across San Francisco, New York and the UK.
Where are the Pave offices? Our company HQ is in San Francisco's FiDi with a high energy in-person culture. We also have an office in NYC and a hub in England. 🌁 🗽 🇬🇧
What do employee benefits at Pave look like? As an employee at Pave, you will have your choice of medical, dental and vision insurance, as well as access to mental health services and other perks to promote your wellbeing. To enhance your personal and professional growth, you will have a monthly L&D stipend. We take our snacking seriously - employees receive catered lunch, dinner and many fun snacks throughout the day.
Who are some of Pave’s customers?Pave is working with 5,500 companies today, including some of the best technology logos out there like Credit Karma, RO, Faire, Dropbox, Airtable, Sweetgreen, Checkr, Hubspot, Snackpass, Attentive and more!
What can I expect in interviewing at Pave? At Pave, we value intellectual honesty and transparency, and we bring this to our interview process. Throughout your time interviewing with us, we will be evaluating where you can best make an impact through multiple conversations with your recruiter, hiring manager, peers and cross-functional partners. We also use our interviews to determine leveling, which is finalized at the end of your interview process by your hiring manager. The majority of our roles have 3-5 interview rounds. You can expect to hear back from our team within 7 days of application, as well as within 2 days after each interview round. Once we extend an offer, we hope to hear back from you within 1 week. It is extremely important to us that we find a great mutual fit - we’re excited to get to know you!
More Questions? Check out our candidate resources page!
Pave is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status. For individuals with disabilities who would like to request accommodation, please email recruiting@pave.com.
Job Summary
Full Time
Specialty Trade in Construction
$127k-157k (estimate)
06/24/2024
08/16/2024
diamondpaveltd.com
WAVERLY, PA
50 - 100
2006
JOSEPH H SPROUL III
$5M - $10M
Specialty Trade in Construction
Related Companies
The job skills required for Senior Data Scientist include Data Science, Python, Insight, Computer Science, Problem Solving, Economics, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Scientist job description and responsibilities
Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
04/06/2022: Utica, NY
Collating and cleaning data from various entities for later use by junior data scientists.
03/23/2022: Moline, IL
Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
02/11/2022: Johnstown, PA
They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
01/26/2022: Evansville, IN
May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
04/02/2022: Anchorage, AK
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Scientist jobs
Present final result to stakeholders. Make adjustments based on feedback.
03/19/2022: Augusta, GA
Learn the required skills to become a data scientist.
03/27/2022: Gulfport, MS
Review additional data scientist certifications and post-graduate learning.
03/27/2022: Elkhart, IN
Ask the right questions to begin the discovery process.
04/12/2022: Petersburg, VA
Choose one or more potential models and algorithms.
04/13/2022: Peoria, IL
Step 3: View the best colleges and universities for Senior Data Scientist.
Similar Jobs
Popular Articles
