data scientist

senior lead data science engineer, personalization Jobs in Boston

senior lead data science engineer, personalization

senior scientist, data science - hybrid Jobs in Boston

senior scientist, data science - hybrid

sr data scientist

senior lead data science engineer personalization

DraftKings

<div>At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It&rsquo;s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We&rsquo;re not waiting for the future to arrive. We&rsquo;re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.<h3 class="jobSectionHeader">
The Crown Is Yours</h3><h3 class="jobSectionHeader">
As a Senior Lead Data Science Engineer, you will leverage your expertise in data science and analytics to drive impactful projects to create the most relevant product in the Sportsbook industry. Your work will be critical to deeply integrate our data science-powered understanding of the customer within our content engine and platforms. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. 
 
What You'll Do</h3><ul><li>
Develop and implement advanced statistical models and machine learning algorithms to analyze large datasets and extract meaningful insights.</li><li>
Collaborate with cross-functional teams, including product, engineering, and marketing, to understand business needs and translate them into data science solutions.</li><li>
Communicate complex analyses and insights to technical and non-technical stakeholders, influencing strategic decision-making.</li><li>
Ensure the quality and integrity of data used for analysis, and drive the development of data infrastructure and tools.</li><li>
Lead and mentor a team to innovate and experiment with new data-driven approaches to content generation and user engagement.</li></ul><h3 class="jobSectionHeader"> 
What You'll Bring</h3><ul><li>
Master's degree or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred.</li><li>
Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects.</li><li>
Proficiency in programming languages such as Python, and experience with data manipulation and visualization tools.</li><li>
Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery.</li><li>
Strong leadership skills with the ability to mentor and develop a high-performing team.</li><li>
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Familiarity with user behavior analysis and its integration into content and product strategies.</li></ul><h3 class="jobSectionHeader">
Join Our Team</h3>
We&rsquo;re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don&rsquo;t worry, we&rsquo;ll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We know finding a new job can be intimidating. Don't let imposter syndrome stop you from applying! Even if you don't think you tick off every box in this job description, we'd still love for you to apply or join our Talent Community.
DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.</div>

Senior Lead Data Science Engineer, Personalization

<div><div>What you&rsquo;ll need to succeed as a Senior Scientist, Data Science at XPO</div><div>
Minimum qualifications:</div><ul><li>
Bachelor&rsquo;s degree or equivalent related work or military experience</li><li>
2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization</li><li>
Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects</li><li>
Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning</li><li>
Strong communication skills with a knack for translating complex AI concepts into clear business insights</li></ul><div>
Preferred qualifications:</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline</li><li>
A Master&rsquo;s or PhD in Computer Science, AI, Data Science, or a related quantitative field</li><li>
years of hands-on experience in developing and deploying optimization solutions</li><li>
5+ years&rsquo; experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.</li><li>
Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue</li><li>
Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling</li><li>
Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience</li><li>
Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation</li><li>
Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods</li></ul><div></div><div> 
About the Senior Scientist, Data Science job</div><div>
Pay, benefits and more:</div><ul><li>
Competitive compensation package</li><li>
Full health insurance benefits are available on day one</li><li>
Life and disability insurance</li><li>
Earn up to 15 days of PTO over your first year
</li><li>9 paid company holidays</li><li>
401(k) option with company match</li><li>
Education assistance</li><li>
Opportunity to participate in a company incentive plan</li></ul><div></div><div> 
What you&rsquo;ll do on a typical day:</div><ul><li>
Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company</li><li>
Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions</li><li>
You will be a thought leader for the practice of Data Science and Analytics across the organization</li><li>
Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation</li><li>
Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations</li><li>
Communicate with technical and business-oriented audiences</li><li>
Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges</li><li>
Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance</li><li>
Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs</li><li>
Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO</li></ul><div></div><div> 
Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.</div> 
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you&rsquo;re looking for a growth opportunity, join us at XPO. 
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. 
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.</div>

Senior Scientist, Data Science - Hybrid

Tango Therapeutics

<div>Company Overview

Tango Therapeutics is a biotechnology company dedicated to discovering novel drug targets and delivering the next generation of precision medicine for the treatment of cancer.

Using an approach that starts and ends with patients, Tango leverages the genetic principle of synthetic lethality to discover and develop therapies that take aim at critical targets in cancer.

This includes expanding the universe of precision oncology targets into novel areas such as tumor suppressor gene loss and their contribution to the ability of cancer cells to evade immune cell killing.

The Tango labs and offices are located at 201 Brookline Avenue, in the Fenway area of Boston, Massachusetts 


Summary

Tango has an exciting opportunity to join our growing Biometrics team as a Senior Manager, Statistical Programming, reporting to the Senior Director of Statistical Programming. In this role, you will be responsible for study-specific statistical programming activities, maintaining programming infrastructure, and ensuring compliance with SOPs to deliver high-quality, timely outputs. 


Your Role:
<ul>
<li>Lead the statistical programming activities for clinical trials and studies, ensuring high-quality and timely deliverables for CSR, publications, presentations, various reports for health authority submissions, clinical data review, and ad hoc analysis</li>
<li>Develop, validate, and maintain analysis datasets (SDTM, ADaM), tables, listings, and figures, TLFs) in accordance with regulatory guidelines and internal standards</li>
<li>Review key clinical study or program documents</li>
<li>Perform complex statistical analyses and simulations using SAS or R to support clinical trial design and data interpretation; manage macro library and templates for efficiently preparing, processing, analyzing clinical data and validating analysis results</li>
<li>Provide expertise in statistical programming for regulatory submissions (e.g., FDA, EMA), including electronic submission standards (eCTD)</li>
<li>Collaborate with biostatisticians, data managers, and cross-functional team members to define programming strategies and requirements, establish project timelines, and perform statistical analyses</li>
<li>Author or review SDTM and ADaM specifications to ensure compliant to CDISC standards</li>
<li>Develop SAS or R code, manage macro or utilities library and templates for efficiently preparing, processing, analyzing clinical data, and validating analysis results</li>
<li>Author and review statistical analysis related SOPs</li>
<li>Stay current with industry trends, best practices, and emerging technologies in statistical programming and data analysis</li>
<li>Additional duties and responsibilities as required</li></ul> 


What You Bring:
<ul>
<li>Bachelor's or master's degree in statistics, life sciences, computer science, or related field with at least 8 years' statistical programming experience</li>
<li>Experience in oncology preferred</li>
<li>Solid understanding of industry standards applicable to clinical study data and regulatory reporting requirements including eCTD and CDISC implementation</li>
<li>Expert level in SAS programming (Base, Macro, STAT, GRAPH, SQL) is essential; with experience delivering complex programming assignments, macros, and analyses</li>
<li>Experience with R is desirable</li>
<li>Extensive experience in clinical studies including programming and validation of SDTM and ADaM data sets, tables, listings and figures</li>
<li>Expertise in the requirements and technology to support electronic submissions</li>
<li>Experience with BLA, NDA/sNDA submissions to FDA/EMA preferred</li>
<li>Strong analytical and communication skills</li></ul> 


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Senior Manager, Statistical Programming

<div>At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It&rsquo;s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We&rsquo;re not waiting for the future to arrive. We&rsquo;re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.<h3 class="jobSectionHeader">
The Crown Is Yours</h3>
As a Principal Software Engineer, you'll play a critical leadership role in shaping the architecture, tooling, and strategy that power our resilience engineering efforts. Partnering closely with the Director of Resilience Engineering, you'll drive initiatives that improve the performance, scalability, and reliability of our systems. In this role, you'll act as a technical force multiplier, guiding teams to adopt robust design patterns and evolve how we build and operate distributed systems at scale.<h3 class="jobSectionHeader"> 
What You'll Do</h3><ul><li>
Define and evolve the technical architecture that strengthens system resilience, observability, and fault tolerance.</li><li>
Lead the design and development of frameworks and tools that support performance testing, chaos experimentation, and system optimization.</li><li>
Partner with product, infrastructure, and platform teams to embed resilience principles into engineering decisions and workflows.</li><li>
Contribute hands-on work to prototypes, proof-of-concepts, and production systems that demonstrate best practices in resilient architecture.</li><li>
Mentor senior engineers across multiple teams, promoting engineering rigor, continuous improvement, and deep system understanding.</li><li>
Collaborate with leadership to prioritize high-impact initiatives and align technical investments with strategic goals.</li><li>
Influence cross-functional teams without direct authority and advocate for resilient, scalable solutions across our company.</li></ul><h3 class="jobSectionHeader"> 
What You'll Bring</h3><ul><li>
Bachelor's degree in Computer Science or any suitable combination of education, experience, and training.</li><li>
At least 8 years of professional software engineering experience, with deep expertise in system architecture, scalable design patterns, and building distributed systems in production environments.</li><li>
Proven experience as a senior or principal engineer in distributed, large-scale, or high-availability systems.</li><li>
Deep technical knowledge in at least one of the following: performance optimization, observability, fault-tolerant architecture, chaos testing, or cloud-native design.</li><li>
Demonstrated success leading cross-team engineering efforts that drive measurable system improvements.</li><li>
Familiarity with CI/CD pipelines, infrastructure as code, and modern observability stacks.</li><li>
A track record of delivering robust systems in environments focused on scale, uptime, and performance.</li><li>
A strong track record of driving cross-team collaboration, resolving complex technical challenges, and translating broad business problems into elegant engineering solutions.</li><li>
Strong, structured communication and collaboration skills, with the ability to influence architectural decisions across technical and non-technical stakeholders and effectively document outcomes.</li><li>
A passion for mentoring and supporting the growth of fellow engineers through thoughtful code reviews, design feedback, and technical guidance.</li></ul>
#LI-MF1<h3 class="jobSectionHeader">
Join Our Team</h3>
We&rsquo;re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don&rsquo;t worry, we&rsquo;ll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 185,400.00 USD - 231,800.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We know finding a new job can be intimidating. Don't let imposter syndrome stop you from applying! Even if you don't think you tick off every box in this job description, we'd still love for you to apply or join our Talent Community.
DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.</div>

Principal Software Engineer, Chaos Engineering

Franklin Fitch

<div>
 
 
 Full Stack Software Developer | Hybrid, Boston | $110,000 - $150,000
 
 
 
 
 
 
 One of Boston&rsquo;s leading professional services firms are looking to bring on board a Developer to join their team as they look to grow out their IT presence.
 
 
 
 
 
 The role provides you with the perfect opportunity to work for a company who are growing out their IT presence and working with large data sets on a daily basis.
 
 
 
 
 
 You will work for a company who are investing heavily in their technology and have a lot of buy in from senior leadership to grow within technology. They are on a cloud journey in Azure and this role will also work closely with data science and machine learning teams.
 
 
 
 
 
 Key requirements for the role:
 
 
 
 
 <ul>
 <li>
 4 years+ Development Experience
 </li>
 <li>
 Back-End - C#, .NET
 </li>
 <li>
 Front-End - HTML, CSS, JavaScript, Bootstrap, React, Angular
 </li>
 <li>
 DevOps - Git, CI/CD
 </li>
 <li>
 Strong Communication Skills
 </li>
 </ul>
 
 
 
 
 The company are looking to begin conversations and interviews from this week so to secure an interview slot, send in an application, send me over a message or send your resume into the details below
 
 
 
</div>

Software Developer

Suno

<div>
 
 About Suno
 
 
 
 Suno is a music company built to amplify imagination. Powered by the world&rsquo;s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music&mdash;unlocking the joy of musical expression for all.
 
 
 
 About The Role
 
 
 
 We're looking for talented Early Career Software Engineers to join our team building Suno. You'll work closely with experienced engineers to develop and enhance the tools that enable millions of users to create, discover, and share music, while building your professional development and technical expertise in cutting-edge AI and audio technology.
 
 
 Check out our Suno version of the job here!
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build Suno's apps for creating, exploring, and listening to music
 </li>
 <li>
 Contribute to services that handle massive consumer traffic, data, and usage
 </li>
 <li>
 Learn to design systems that are performant, scalable, and easy to observe
 </li>
 <li>
 Participate in code reviews and learn best practices from senior engineers
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
 </li>
 <li>
 Strong foundation in computer science fundamentals (data structures, algorithms, software design)
 </li>
 <li>
 Experience with web technologies and modern frameworks (Python, Django, React, or similar) or mobile development through coursework, internships, or personal projects
 </li>
 <li>
 Basic understanding of databases and data storage solutions (SQL, NoSQL)
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 Ability to work effectively in a collaborative environment
 </li>
 <li>
 Eagerness to learn about distributed systems and scaling applications
 </li>
 <li>
 A love of music (listening, exploring, making) is a huge plus, but not required
 
 
 </li>
 </ul>
 
 Additional Notes:
 
 Applicants must be eligible to work in the US.
 
 
 
 Perks &amp; Benefits For Full-Time Employees
 
 
 
 <ul>
 <li>
 Company Equity Package
 </li>
 <li>
 401(k) with 3% Employer Match &amp; Roth 401(k)
 </li>
 <li>
 Medical, Dental, &amp; Vision Insurance (PPO w/ HSA &amp; FSA options)
 </li>
 <li>
 11 Paid Holidays + Unlimited PTO &amp; Sick Time
 </li>
 <li>
 16 Weeks of Paid Parental Leave
 </li>
 <li>
 Creative Education Stipend
 </li>
 <li>
 Generous Commuter Allowance
 </li>
 <li>
 In-Office Lunch (5 days per week)
 </li>
 </ul>
</div>

Software Engineer, Early Career

Northeastern University

<div>About the Opportunity
JOB SUMMARY
 
The Senior Director of Financial Enrollment Analytics is a senior leader responsible for advancing institutional financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable insights that support strategic planning and financial sustainability. This role oversees the design and implementation of analytical tools and modeling that inform key financial success indicators across all units, develops dashboards reflecting key enrollment and revenue performance metrics for the university community, and ensures the accurate reporting of these data.
 
 
MINIMUM QUALIFICATION 
<ul><li>Education &amp; Experience
</li><li><ul><li>Master's degree in Analytics, Data Science, Economics, Engineering, Finance, Business Administration, Institutional Research, or related field required; Doctorate preferred
</li><li>Minimum 10 years of progressive experience in higher education analytics, enrollment management, budget analytics, institutional research, financial planning, or related field
</li><li>Minimum 5 years of leadership experience managing analytical teams and complex projects
</li><li>Demonstrated expertise in enrollment financial modeling and revenue forecasting in higher education settings
</li></ul></li><li>Technical Competencies
</li><li><ul><li>Advanced proficiency in Python, SQL, Excel, and statistical analysis software such as R
</li><li>Expert knowledge of data visualization and business intelligence tools (Tableau, Power BI, or similar)
</li><li>Strong database management and data wrangling skills with experience in cloud data warehouse systems such as Snowflake and data preparation tools like Tableau Prep
</li><li>Experience with predictive modeling, machine learning, AI applications, and advanced statistical methodologies
</li><li>Demonstrated ability to integrate AI with cloud-based enterprise data platforms, e.g., Microsoft Azure
</li><li>Proficiency in enterprise planning systems (e.g., Workday Adaptive Planning) for financial modeling and scenario planning
</li><li>Experience developing and deploying analytics through internal applications
</li></ul></li><li>Professional Competencies
</li><li><ul><li>Commitment to leveraging analytics in service of institutional mission, student success, and financial sustainability
</li><li>Deep understanding of higher education enrollment management principles, financial aid strategies, and revenue dynamics
</li><li>Exceptional strategic thinking skills with demonstrated ability to identify trends, patterns, and opportunities
</li><li>Effective collaborator across functional areas who builds productive partnerships with diverse stakeholders
</li><li>Proven ability to translate complex analytical findings into clear, actionable recommendations through data storytelling and compelling visualizations ; teaching or training experience preferred
</li><li>Forward-thinking approach to leveraging emerging technologies and methodologies, including artificial intelligence
</li><li>Commitment to data quality, methodological soundness, and evidence-based decision-making 
</li></ul></li></ul> 
KEY RESPONSBIILITIES &amp; ACCOUNTABILITIES
Lead the development of financial dashboards to support strategic planning, goal setting, and key investment opportunities that support the academic plan. Translate complex analytical findings into clear, compelling visual and narrative presentations for executive audiences and key stakeholders. Maintain dashboards and reporting systems (e.g., in Tableau) that provide real-time visibility into enrollment and revenue metrics across colleges, programs/divisions, and the global network.
Collaborate with cross-functional teams (Admissions, Financial Aid, Institutional Research, IT) to align enrollment and financial data from Workday and other enterprise systems, establishing consistent definitions and a single source of truth.
Support the university business model by providing enrollment and revenue data anchors plus predictive models for scenario planning (e.g., in Workday Adaptive Planning) that inform university strategy and key investment decisions.
Serve on data governance and reporting system integration teams related to admissions, financial aid, student, revenue, and expense information . Ensure standardized definitions and trustworthy data that support both routine reporting and ad hoc analytical inquiries, with AI-ready infrastructure for advanced machine learning and predictive modeling capabilities. Identify patterns and opportunities within large datasets from enterprise data warehouses, including Snowflake, using innovative AI and analytical techniques to inform strategic decision-making and resource allocation.
Analytics &amp; Insights
Oversee the design and execution of sophisticated analytical tools including trend analysis, performance benchmarking, and predictive modeling using machine learning and classical statistical techniques. Conduct comprehensive analyses of enrollment patterns, student cohort progression, net tuition revenue performance, and key financial indicators leveraging programming languages including Python and SQL.
Position Type
Finance
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
<div><div><div><div>Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness &amp; life, retirement- as well as commuting &amp; transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
</div></div></div></div>All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
115S
Expected Hiring Range:
$154,810.00 - $224,473.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.</div>

Senior Director - Financial Enrollment Analytics

Explore 112+ Senior lead data science engineer personalization in Boston this December. Find roles across top companies and apply now to boost your career.