Senior Data Scientist/Machine Learning Scientist

Datalign Advisory, Inc.; Cambridge (MA); Presencial; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Health, dental, vision insurance

Parking and transit benefits

Bluebike membership

Descripción de la vacante

Datalign Advisory, Inc. in Cambridge, MA is seeking a Senior Data Scientist/Machine Learning Scientist to lead product-focused AI initiatives and enable strategic decision-making through advanced analytics.

You will build scalable data products that improve user experience and business outcomes, collaborating with product, engineering and business teams to deploy ML in production. The role emphasizes experimentation, rigorous evaluation, and the use of modern tools, cloud platforms, and

Formación

• 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

Responsabilidades

• 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

Conocimientos

Python

SQL

Distributed computing

Experiment design

Statistical modeling

Product analytics

Classification algorithms

Recommendation systems

Personalization algorithms

A/B testing

Educación

MS/PhD in CS/Statistics/Math

Herramientas

AWS ML

GCP ML

Azure ML

MLflow

Kubeflow

Spark

Kafka

Airflow

Descripción del empleo

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.

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

• The level of this position can be adjusted based on the candidate's experience.