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Data Scientist - NLP/NLU

| Waltham

Data Scientist

Your deep experience with artificial intelligence and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members. In the past you have been part of a startup or corporate innovation team working in fast-moving environments. You can point to numerous examples which have demonstrated your ability to creativity solve technical challenges.

A Pioneer in the Fintech, Intralinks is a 22 years old company. 1/3 of the world’s M&A runs on our Virtual Data Room product, $1 of every $2 dollars of private equity is raised through our Fund raising and reporting solutions.

What we are searching for:

As a Data Scientist you will be working with the largest repository of corporate, board-level business information in the world. You will work with Product Managers, Business Analysts, Data Analysts, User Experience Designers, ML Engineers, and Senior Executives to gather requirements and apply data science methodologies to solve complex business problems.

You should have deep expertise in analyzing large, complex data sets from multiple domains, then translating this analysis to models which can run at scale in a SaaS business. You will be a part of an established global team focused on Analytics, Search and Artificial Intelligence with researchers in developers in Waltham, MA, Bucharest, Romania and Hyderabad, India all focused on the development of solutions for Investment Bankers, Private Equity and other industries.

Responsibilities & Opportunities of the Role:

  • Work with the AI team in building a world-class software, functioning as a thought leader in ensuring team development efforts resulting in successful delivery of AI systems.
  • Collaborate with cross functional agile teams of software engineers, data engineers, ML engineers, Product Managers and others in building new product features
  • Manage and execute entire data projects from start to finish including cross-functional project management, data gathering and manipulation, analysis and modeling, and communication of insights and recommendations.
  • Demonstrate a high degree of originality and creativity when developing solutions to solve problems like entity recognition, document classification etc. utilizing methods such as statistical analysis, regression modeling, natural language understanding and optimization, and deep learning.
  • Work independently to manage multiple projects at once while ensuring deadlines are met and data output is accurate and appropriate for the business. Must also be able to deal with ambiguity and make independent decisions about what data and approach is best for the task at hand.
  • Think strategically about data as a core enterprise asset and assist in all phases of the advanced analytic development process
  • Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, random forests, and Bayesian analysis.
  • The scope of work includes Forecast, Prediction Models, Outlier Reporting, Risk Analysis, Document classification, Data Extraction, Adhoc analysis.
  • Implementation of Supervised and Unsupervised model development techniques


  • A minimum of 2 years of developing and running models in non-academic production systems. Please note that applications without this experience will not be considered. Some of this experience needs to with NLP and deep learning technologies.
  • Masters or Ph.D. with experience in Machine Learning/Statistics/Data Science
  • Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, NLP, NLU, Ensemble Methods and Neural Networks
  • Strong implementation experience with high-level languages, such as Python, R, Perl, Ruby, Scala or similar scripting languages;
  • Familiarity with Linux/Unix/Shell environments;
  • Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data;
  • Strong written and oral communication skills.
  • Intense intellectual curiosity – strong desire to always be learning
  • Analytical, creative, and innovative approach to solving open-ended problems
  • Highly collaborative, team-player attitude
  • Experience with product development is a plus
  • Experience with Financial Services is desired but not required. Much of our data relates to Investment Banking and M&A.

Technical Skills:

  • Technical Skills: SAS &/or R &/or SPSS, Python, Hadoop, SQL, NoSQL, Unstructured Data, SQL, SparkSQL (or equivalent Big Data Language), Expert at MS Excel, XML, Data Visualization Tensorflow, Kubeflow, Anaconda, PyCharm, SciPy, Keras, Scikit, NLTK, SpaCY.
  • Tool Experience (such as Tableau), XML, Web Services, Java, &/or Perl &/or Python &/or C/C++, RESTful Services and APIs, Testing and Debugging, Data Munging/Cleanup, Data Visualization and Communication.
  •  Experience with ML systems using frameworks such as Scikit-learn, Keras and Tensorflow.
  • Technical/SDLC: General Agile experience, Strong SCRUM, Confluence, Jira, Version Control
  • Strong Presentation skills
  • Experience in business intelligence systems is a plus
  • Strong business acumen and financial services experience is a plus
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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • GolangLanguages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • jQueryLibraries
    • jQuery UILibraries
    • ReactLibraries
    • ReduxLibraries
    • AngularJSFrameworks
    • Backbone.jsFrameworks
    • HadoopFrameworks
    • Node.jsFrameworks
    • SpringFrameworks
    • TensorFlowFrameworks
    • CassandraDatabases
    • Microsoft SQL ServerDatabases
    • MongoDBDatabases
    • MySQLDatabases
    • OracleDatabases
    • PostgreSQLDatabases
    • IllustratorDesign
    • PhotoshopDesign
    • Aha!Management
    • BasecampManagement
    • ConfluenceManagement
    • JIRAManagement
    • DrupalCMS
    • TumblrCMS
    • WordpressCMS
    • SalesforceCRM


Intralinks' Waltham location is located on the outskirts of Boston and easily accessible by vehicle, public transportation, company sponsored shuttle!

An Insider's view of Intralinks

What are some social events your company does?

Every other week each office hosts a Team Thursday event organized by different teams - the snacks are plentiful, trivia competition is fierce, and is a chance to break up your week with time to toast your colleagues!

Melanie Sardinha

Talent Program Associate

What are Intralinks Perks + Benefits

Intralinks Benefits Overview

Everything and more!

For you to succeed, you need to be able to afford to live and flourish. You need to stay healthy too.

Intralinks comprehensive health coverage provide options to suit your particular needs. This includes the ability to choose our health savings account option to put aside money for current as well as retiree medical needs. We also recognize the need for peace of mind and offer salary continuation through our short and long term disability programs, cash policies for critical illness and an accident protection plan. Our 401K plan with a company match helps you and your family prepare for the future. Our wide array of both company provided and supplemental insurance options ensures you and your family are covered. Rounding out these robust benefits are legal assistance, personal advocacy services, and work life balance through our flexible paid time off program as well as our in and out of office celebrations.

Friends outside of work
Eat lunch together
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Highly diverse management team
Unconscious bias training
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Wellness Programs
Retirement & Stock Options Benefits
401(K) Matching
Acme Co. provides employees with a 401(k) matching plan managed by [provider]. We match 6% of contributions up to 9% of an employee's annual gross pay.
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Acme Co. provides employees with a flexible work schedule that includes Flexible start and end times.
Remote Work Program
Family Medical Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Game Room
Our game room includes Ping Pong.
Stocked Kitchen
Happy Hours
Happy hours are hosted every other week.
We offer employees Free on-site garage parking.
Professional Development Benefits
Job Training & Conferences
Acme Co. offers employees professional development opportunities like Onsite training courses, The ability to attend job related conferences and seminars.
Tuition Reimbursement
Lunch and learns
Acme Co. hosts lunch and learn meetings on occasion.
Cross functional training encouraged
Promote from within
Mentorship program
Our mentorship program includes Career mentoring, Leadership mentoring.
Time allotted for learning
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