{"id":1966608,"url":"https://alion.io/job/datalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-","title":"Senior Data Scientist/Machine Learning Scientist - Datalign Advisory Inc.","company":{"id":3812784,"name":"Datalign","domain":"datalign.com","url":"https://alion.io/company/datalign","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":134000,"max_usd":256000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Dask","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-06T17:39:44Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-23T21:15:05Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"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).\nPosition Overview\nWe 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.\nAs 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.\nPlease 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.\nKey Responsibilities\nConduct exploratory data analysis to uncover relationships, patterns and key features in data for both business decision making and model development.\nDevelop and deploy machine learning models for production using robust CI/CD practices in collaboration with software engineers.\nIdentify success metrics and build evaluation frameworks for both model and product performance considering both technical and business requirements.\nInnovate with the latest generative AI and graph-based machine learning advancements to improve existing processes and develop new products.\nContribute to architectural and code reviews to maintain and evolve the health of our technical stack.\nCollaborate with product management, engineering, and business teams to rapidly identify and test high-impact solutions for business needs.\nInfluence 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.\nRequired Qualifications\nMS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field\nMS with 6+ years of industry experience or PhD with 3+\nEntrepreneurial mindset with willingness to experiment, iterate quickly and move from hypothesis to implementation to develop critical business solutions.\nExpert-level proficiency in Python, SQL, and distributed computing frameworks.\nDeep understanding of machine learning algorithms, experiment design and statistical modeling and evaluation\nStrong background in product analytics, classifiers, recommendation systems, and personalization algorithms\nExperience putting machine learning solutions in production with modern ML platforms (e.g. AWS/GCP/Azure ML, MLflow, Kubeflow)\nFamiliarity with A/B testing, product metrics and user behavior analytics\nPreferred Qualifications\nExperience with graph representations/graph neural networks, real-time ML systems and/or matching or personalization algorithms.\nProficiency in big data technologies (e.g. Spark, Dask, Kafka, Airflow) and cloud architectures.\nBackground in fintech, wealth management, or financial advisory services with an understanding of the regulatory requirements in financial services.\nTrack record of publications in top-tier conferences or journals.\nUnderstanding of marketplace dynamics and multi-sided platform optimization.\nExperience with data monetization and building data products\nWhat We Offer\nA dynamic, team-centric and supportive environment in the heart of Kendall Square where your work has a direct impact on enhancing financial advisory services.\nCompetitive salary with performance-based bonuses.\nComprehensive benefits package including health, dental, and vision insurance, and retirement savings plan\nCommuting is on us and we will pay for your monthly parking, T Pass or commuter rail pass. We also offer a corporate Bluebike membership.\nOpportunities for professional growth and development within a rapidly growing company.\nWeekly lunches catered to the office.\nFully stocked kitchen covering all of coffee, tea and snack needs.\nAdditional Information\nWe are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.\nThe level of this position can be adjusted based on the candidate's experience.\nSalary Range: 150-170K","description_format":"text","description_chars":4705,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Wealth Management & Financial Advisors","Financial Advisory, Valuation & Restructuring"],"lifecycle":[{"event":"open","at":"2026-10-06T17:39:44Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.833,"p_room":0.9,"age_days":16,"expected_fill_days":36,"reasons":["conf:12","velocity","win:mid"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/datalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-","json_url":"https://alion.io/job/datalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-.json","meta":{"generated_at":"2026-10-23T23:33:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7001,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3812784},"rest":"https://alion.io/mcp/rest/get_company?id=3812784"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/datalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatalign-senior-data-scientistmachine-learning-scientist-datalign-advisory-inc-"}]}