About the role

What will you do at Datalign Advisory Inc.?

Position Overview

We are seeking a Senior or Principal 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 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.

Which skills does this role require?

Data AnalysisMachine LearningPythonSQLStatistical ModelingProduct AnalyticsRecommendation SystemsA/B TestingGenerative AIGraph-Based Machine LearningCI/CD PracticesUser Behavior AnalyticsEntrepreneurial MindsetCollaborationData ScientistArtificial IntelligenceExploratory Data AnalysisCI/CDCloud ComputingAWSGCPAzureLLMs

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