At a Glance
- Tasks: Lead AI initiatives and develop machine learning models to enhance user experience.
- Company: Dynamic fintech company in Kendall Square with a supportive team culture.
- Benefits: Competitive salary, performance bonuses, comprehensive health benefits, and commuting perks.
- Other info: Hybrid role with excellent growth opportunities and a vibrant office environment.
- Why this job: Make a real impact on financial advisory services using cutting-edge data science.
- Qualifications: MS/PhD in a quantitative field with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
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 Ph D in Computer Science, Statistics, Mathematics, or related quantitative field
- MS with 6+ years of industry experience or Ph D 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.
Senior or Principal Data Scientist/Machine Learning Scientist in Cambridge employer: Datalign Advisory
Datalign Advisory is an exceptional employer located in the vibrant Kendall Square of Cambridge, MA, offering a dynamic and supportive work environment where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development, competitive salaries, and comprehensive benefits, including commuting support and catered lunches. Join us to make a meaningful impact in the financial advisory landscape while collaborating with a passionate team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior or Principal Data Scientist/Machine Learning Scientist in Cambridge
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We think you need these skills to ace Senior or Principal Data Scientist/Machine Learning Scientist in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Datalign Advisory
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
