Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist/Machine Learning Scientist
United States
Live, first seen by us 26 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
HybridLocation limits apply — work setting source
As Data Scientist/Machine Learning Scientist, you will shape the future of how consumers connect with vetted financial advisory firms through our proprietary three-sided marketplace, leveraging data and AI-powered analytics to create meaningful one-to-one matches and improved financial outcomes. Please note: We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office. Key Responsibilities- Conduct exploratory data analysis to uncover relationships, patterns and key features in data for both business decision making and model development.
Fully stocked kitchen covering all of coffee, tea and snack needs. Additional Information- We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office. The level of this position can be adjusted based on the candidate's experience.
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingRun exploratory data analysis to find patterns and features for decisions and models
Develop and deploy machine learning models to production with CI/CD practices
Build evaluation frameworks and success metrics for model and product performance
Explore generative AI and graph-based machine learning for new products
Contribute to architecture and code reviews for the technical stack
From the employer’s posting
Conduct exploratory data analysis to uncover relationships, patterns and key features in data
Develop and deploy machine learning models for production using robust CI/CD practices
Identify success metrics and build evaluation frameworks for both model and product performance
Innovate with the latest generative AI and graph-based machine learning advancements
Contribute to architectural and code reviews to maintain and evolve the health of our technical stack
Education & alternatives
- Influence strategic decisions across multiple business areas by clearly communicating complex data in a way that is understandable and actionable for technical and non-technical stakeholders. Required Qualifications - MS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field - MS with 6+ years of industry experience or PhD with 3+
Required Qualifications - MS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field - MS with 6+ years of industry experience or PhD with 3+ - Entrepreneurial mindset with willingness to experiment, iterate quickly and move from hypothesis to implementation to develop critical business solutions.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 9, 202626 days ago
- Recorded sightings
- 23
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 26
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Datalign Advisory is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- GCP
- Kafka
- MLflow
- Spark
- Airflow
- Dask
Where the posting names them
- Entrepreneurial mindset with willingness to experiment, iterate quickly and move from hypothesis to implementation to develop critical business solutions. - Expert-level proficiency in Python, SQL, and distributed computing frameworks. - Deep understanding of machine learning algorithms, experiment design and statistical modeling and evaluation
- Strong background in product analytics, classifiers, recommendation systems, and personalization algorithms - Experience putting machine learning solutions in production with modern ML platforms (e.g. AWS/GCP/Azure ML, MLflow, Kubeflow) - Familiarity with A/B testing, product metrics and user behavior analytics
Preferred Qualifications- Experience with graph representations/graph neural networks, real-time ML systems and/or matching or personalization algorithms. - Proficiency in big data technologies (e.g. Spark, Dask, Kafka, Airflow) and cloud architectures. - Background in fintech, wealth management, or financial advisory services with an understanding of the regulatory requirements in financial services.
Your next step
Complete your application on datalignadvisoryinc.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Datalign is an AI-native organic growth partner for wealth management firms. Since launching from Cambridge's innovation hub in 2022 with Link Ventures as our lead investor, we've helped over 100,000 Americans with more than $80 billion in potential client assets connect with 13,000 trusted advisors. Our platform uses AI to connect advisors with high-intent consumers and unlock new opportunities, and our modular suite of organic growth solutions is purpose-built for Registered Investment Advisors (RIAs).
Position Overview
We are seeking a Senior Data Scientist/Machine Learning Scientist to lead product-focused artificial intelligence initiatives and facilitate strategic decision-making through advanced analytics and machine learning. This role requires a proven track record of building and scaling data science products that directly impact user experience and business outcomes.
As Data Scientist/Machine Learning Scientist, you will shape the future of how consumers connect with vetted financial advisory firms through our proprietary three-sided marketplace, leveraging data and AI-powered analytics to create meaningful one-to-one matches and improved financial outcomes.
Please note: We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.
Key Responsibilities
- Conduct exploratory data analysis to uncover relationships, patterns and key features in data for both business decision making and model development.
- Develop and deploy machine learning models for production using robust CI/CD practices in collaboration with software engineers.
- Identify success metrics and build evaluation frameworks for both model and product performance considering both technical and business requirements.
- Innovate with the latest generative AI and graph-based machine learning advancements to improve existing processes and develop new products.
- Contribute to architectural and code reviews to maintain and evolve the health of our technical stack.
- Collaborate with product management, engineering, and business teams to rapidly identify and test high-impact solutions for business needs.
- Influence strategic decisions across multiple business areas by clearly communicating complex data in a way that is understandable and actionable for technical and non-technical stakeholders.
Required Qualifications
- MS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
- MS with 6+ years of industry experience or PhD with 3+
- Entrepreneurial mindset with willingness to experiment, iterate quickly and move from hypothesis to implementation to develop critical business solutions.
- Expert-level proficiency in Python, SQL, and distributed computing frameworks.
- Deep understanding of machine learning algorithms, experiment design and statistical modeling and evaluation
- Strong background in product analytics, classifiers, recommendation systems, and personalization algorithms
- Experience putting machine learning solutions in production with modern ML platforms (e.g. AWS/GCP/Azure ML, MLflow, Kubeflow)
- Familiarity with A/B testing, product metrics and user behavior analytics
Preferred Qualifications
- Experience with graph representations/graph neural networks, real-time ML systems and/or matching or personalization algorithms.
- Proficiency in big data technologies (e.g. Spark, Dask, Kafka, Airflow) and cloud architectures.
- Background in fintech, wealth management, or financial advisory services with an understanding of the regulatory requirements in financial services.
- Track record of publications in top-tier conferences or journals.
- Understanding of marketplace dynamics and multi-sided platform optimization.
- Experience with data monetization and building data products
What We Offer
- A dynamic, team-centric and supportive environment in the heart of Kendall Square where your work has a direct impact on enhancing financial advisory services.
- Competitive salary with performance-based bonuses.
- Comprehensive benefits package including health, dental, and vision insurance, and retirement savings plan
- Commuting is on us and we will pay for your monthly parking, T Pass or commuter rail pass. We also offer a corporate Bluebike membership.
- Opportunities for professional growth and development within a rapidly growing company.
- Weekly lunches catered to the office.
- Fully stocked kitchen covering all of coffee, tea and snack needs.
Additional Information
- We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.
- The level of this position can be adjusted based on the candidate's experience.
- Salary Range: 150-170K
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
As Data Scientist/Machine Learning Scientist, you will shape the future of how consumers connect with vetted financial advisory firms through our proprietary three-sided marketplace, leveraging data and AI-powered analytics to create meaningful one-to-one matches and improved financial outcomes. Please note: We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office. Key Responsibilities- Conduct exploratory data analysis to uncover relationships, patterns and key features in data for both business decision making and model development.
More source context
- Fully stocked kitchen covering all of coffee, tea and snack needs. Additional Information- We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office. - The level of this position can be adjusted based on the candidate's experience.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.