Senior Data Scientist salary in New York
Average Base Salary in New York
$157,756
$12,558
Additional Cash Compensation
$170,314
Total Compensation
Median: $158K
Min: $105K
Max: $200K
How Much Does a Senior Data Scientist Make in New York?
The average salary for a Senior Data Scientist in New York is $157,756. The average additional cash compensation for a Senior Data Scientist in New York is $12,558. The average total compensation for a Senior Data Scientist in New York is $170,314. Senior Data Scientist salaries are based on responses gathered by Built In NYC from anonymous Senior Data Scientist employees in New York.
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Senior Data Scientist jobs in NYC
Adeptly interpret and utilize mass quantities of data to generate innovative hypotheses & insights, and present these insights to the different stakeholders.
Use sophisticated statistical methods to solve problems, leveraging up-to-date academic research and tools.
Quantitatively test hypotheses about customer and driver behavior using large sets of proprietary data; leverage results to increase conversion and retention at every touch point.
Design and implement novel experiments to better understand current operation as well as expansion to new markets.
Leverage cutting-edge data science capabilities and technology to design products used to help healthcare clients plan, target, measure and optimize their marketing campaigns.
Contribute to the development of Crossix’s rapidly growing and market leading programmatic modeling solutions.
Help to discover and deliver innovative advanced analytics powered features and product offerings from prototype to massive scale.
Apply machine learning and advanced analytics techniques to large data sets of health and consumer data.
Explore and find meaning in extremely high volumes of data to extract actionable insights that will help drive business decisions; perform data query, data cleansing and experiment design.
Data Scientist
+9
Discovery is looking for a Data Scientist to play a key role in modeling, data product innovation, and process automation in a data-driven advertising sales team. Reporting to the Data Science Lead, this individual would use statistical analysis, machine learning, and data engineering to drive business efficiencies and advance the development and enhancement of data products.
As a Data Scientist at Ohi, you will be building the technical systems and analytics that the business will need to quickly scale and grow. You will be part of a team that prioritizes collaboration, personal development, and getting things done. You will be part of a company that is trying to provide consumers with a faster, better, and more sustainable experience by enabling e-commerce companies an optimized platform.
Apply machine learning, data mining, and statistical analysis techniques to large health data sets to build new products and methodologies.
Own responsibilities related to project and people leadership, including leading data scientists and analysts.
Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale.
Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design.
Rapidly build prototype product solutions, communicate findings, and iterate.
Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved.
Work with product and engineering teams to improve and implement methods and features.
Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software.
Apply machine learning, data mining, and statistical analysis techniques to large health data sets to build new products and methodologies.
Own responsibilities related to project and people leadership, including leading data scientists and analysts.
Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale.
Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design.
Rapidly build prototype product solutions, communicate findings, and iterate.
Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved.
Work with product and engineering teams to improve and implement methods and features.
Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software.
As a leader within the data engineering team, you’ll help translate our vision of accelerating the way landlords and tenants plan, market, lease, and manage space. Reporting to the VP of Engineering, you will be the first Data Science hire for VTS and will help build and lead this team over the coming years. As such, you will:
Define and monitor metrics, create data narratives, and build tools to drive decisions.
Build and interpret algorithms and machine learning models that power VTS’ data products.
Employ statistical tools to establish relationships.
Help design and build VTS’ next-generation data products and research reports that will leverage the power of our data sets.
Ensure our data sets are complete, unique, timely, valid, accurate, consistent, and easy to consume.
Work closely with engineers, product managers, designers, QA, and other business partners to discover and solve challenges for our customers.
Collaborate with other full-stack teams to incrementally craft high-quality products for our customers.
Have organization-wide impact through your work, departmental initiatives like brown bags and recruiting, being a mentor or onboarding buddy, etc..
Stay current, publish, present, and contribute as a thought leader in the field of Machine / Deep Learning and AI.
We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.
We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.
We are a data-driven company through and through.
We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.
We offer a generous budget for personal development expenses like training courses, conferences, and books.
You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.
Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.
Hopper is looking for a data-savvy individual to join our team as a Data Scientist and lead data-centric product development and complex business intelligence projects within our core air travel business unit. Every day you would draw powerful insights from our real-time feed of billions of flight search results and archives of several trillion data points. To succeed at Hopper you need the talent, passion, and experience to thrive in a highly performing company.
Senior Data Scientist
+22
* Our Senior Data Scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients.
* Our Data Science team is embedded into nearly a dozen individual, mission-focused engineering teams working across a wide spectrum of technological and scientific challenges. You will have the opportunity, depending on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; differential privacy across billions of user IDs; and causal inference with missing data - to name a few.
* Senior Data Scientists contribute to more than our product – they build up our team. Through a combination of mentoring and technical leadership, they make others better and raise the bar for those around them.
Translate product and business objectives to data science problems and vice versa.
Partner with stakeholders and collaborators to prioritize and coordinate projects.
Apply statistical inference to draw rigorous conclusions from data.
Use a combination of exploratory analysis and data mining techniques to identify and understand trends and anomalies.
(Within 6 months) Manage a small team of data scientists while continuing to spend about 50% of time doing hands-on work.
As we build out our development team, we're constantly looking for people who can take our user recommendation and personalization to the next level. We have a unique opportunity to provide users with an enhanced experience by showing them offers and deals most relevant to their interests, so optimizing these recommendations is the key performance indication for success in this role. This means working intelligently to uncover insights otherwise buried in our raw data and helping both Product and Tech to build solutions in line with these findings to increase conversion and enhance the user experience.
Senior Data Scientist Salary ranges
The two most common Senior Data Scientist salary ranges in New York are $140k - $150k and $150k - $160k.
Average Senior Data Scientist Salary by Company Size
People with the job title Senior Data Scientist make the most at companies with 201-500 employees, earning $165,667 on average.
Senior Data Scientist Salary by gender
The average Senior Data Scientist salary for women is $154,167 and the average Senior Data Scientist salary for men is $158,696.
Senior Data Scientist Salary by Years of Experience
The average salary for a Senior Data Scientist with 7+ years of experience is $161,800.
Average Data + Analytics salaries in New York
| Job Title | Average Salary | Salary Range |
|---|---|---|
| Junior Business Analyst | $64,000 | Min: $64K Max: $64K |
| Junior Data Analyst | $72,000 | Min: $55K Max: $86K |
| Data Analyst | $80,556 | Min: $45K Max: $130K |
| Business Analyst | $87,840 | Min: $59K Max: $167K |
| Business Intelligence Analyst | $90,645 | Min: $55K Max: $150K |
| Junior Data Scientist | $94,000 | Min: $94K Max: $94K |
| Senior Business Analyst | $103,617 | Min: $74K Max: $175K |
| Senior Data Analyst | $106,547 | Min: $72K Max: $210K |
| Business Intelligence Developer | $114,364 | Min: $95K Max: $131K |
| Analytics Manager | $116,027 | Min: $85K Max: $170K |
| Data Engineer | $123,911 | Min: $75K Max: $200K |
| Data Scientist | $132,057 | Min: $50K Max: $200K |
| Business Intelligence Manager | $133,250 | Min: $115K Max: $164K |
| Data Architect | $144,464 | Min: $85K Max: $260K |
| Database Administrator | $147,000 | Min: $147K Max: $147K |
| Senior Data Scientist | $157,756 | Min: $105K Max: $200K |
| Senior Data Engineer | $162,000 | Min: $160K Max: $164K |
| Director of Analytics | $170,574 | Min: $75K Max: $245K |
| Data Engineering Manager | $179,000 | Min: $179K Max: $179K |
| CIO (Chief Information Officer) | $241,875 | Min: $200K Max: $400K |
Skills that affect Senior Data Scientist salaries in New York
1
Machine Learning
6% have this skill
2
Python
6% have this skill
3
Data Modeling
6% have this skill
4
Predictive Analytics
6% have this skill
5
SQL
5% have this skill
6
Data Visualization
5% have this skill
Recent Senior Data Scientist salaries in New York
$165,000
Yearly Salary
A Lead Data Scientist reported a yearly salary of $165,000 with +$13,750 in additional cash compensation
5-7 Years of Experience
Female
51-200 Employees
New York
$200,000
Yearly Salary
A Senior Data Scientist reported a yearly salary of $200,000
3-5 Years of Experience
Prefer not to say
51-200 Employees
New York
1-5 Reports
$195,000
Yearly Salary
A Senior Data Scientist reported a yearly salary of $195,000
5-7 Years of Experience
Prefer not to say
51-200 Employees
New York
$130,000
Yearly Salary
A Data Scientist reported a yearly salary of $130,000
3-5 Years of Experience
Male
500+ Employees
New York
1-5 Reports
$200,000
Yearly Salary
A senior data scientist reported a yearly salary of $200,000
3-5 Years of Experience
Male
201-500 Employees
New York
1-5 Reports
$139,000
Yearly Salary
A Senior Data Scientist reported a yearly salary of $139,000 with +$10,000 in additional cash compensation
1-3 Years of Experience
Male
500+ Employees
New York
$170,000
Yearly Salary
A Senior Data Scientist reported a yearly salary of $170,000 with +$15,000 in additional cash compensation
3-5 Years of Experience
Prefer not to say
51-200 Employees
New York
1-5 Reports
$170,000
Yearly Salary
A Senior Data Scientist reported a yearly salary of $170,000 with +$10,000 in additional cash compensation
5-7 Years of Experience
Female
500+ Employees
New York
$180,000
Yearly Salary
A Senior Data Scientist reported a yearly salary of $180,000
5-7 Years of Experience
Male
51-200 Employees
New York
$155,000
Yearly Salary
A Senior Data Scientist reported a yearly salary of $155,000 with +$15,500 in additional cash compensation
1-3 Years of Experience
Male
500+ Employees
New York
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