Apex Systems Data Scientist in Boston, Massachusetts

Data Scientist in Boston, MA at APEX Systems

Date Posted: 12/30/2018

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Job Snapshot

  • Employee Type:


  • Location:

Boston, MA

  • Job Type:

Data Scientist

  • Experience:

Not Specified

  • Date Posted:


Job Description Job #: 918326

Apex Systems combines with parent company On Assignment to make it the 2nd largest IT staffing agency in the country.

Apex has an opportunity for a Data Scientist role in the Boston, MA area. This is a 1 Year Assignment position and the pay rate is flexible depending on experience.

For applicants who are interested in this Data Scientist opportunity; please send a Word resume to Cassie Wagner, Professional Recruiter @ cwagner@apexsystemsinc.com.

Here are the details

Apex Job ID: 918326

Role: Data Scientist

Location: Boston, MA 02205

Duration: 1 Year Contract

Rate: Flexible depending on experience

At the Artificial Intelligence Center of Excellence (COE), you’ll be building critical solutions that will benefit our clients for years to come. We work closely with business stakeholders, collect requirements and deliver high value AI/ML solutions that drive customer and business value. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the industry. These positions are all located in Boston, MA.

The Team

The Artificial Intelligence Center of Excellence (COE) team contributes to the vitality and growth of the organization through researching and building complex, cutting edge and scalable AI algorithms, models, platforms and technologies to significantly improve customer experience and drive business results. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand.

The Expertise & Skills You Have

  • We are seeking talent who is working on their Master’s or PhD in Data Science, Computer Science, Mathematics, Computational Statistics, Engineering, Operations Research, Machine Learning and seeking full-time employment.

  • Knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies.

  • You’ve been developing algorithms and predictive models as part of your job for more than 5 years

  • Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.),

  • Experience in evaluating and making decisions around the use of new or existing tools for a project.

  • Experience with large scale databases and big data technologies such as Hadoop, Cassandra, MongoDB, Kafka, Flink.

  • Cloud technologies (ex: AWS, Azure, Google, SageMaker)

  • Programming skills, .e.g., Python/scikit-learn/NLTK, Spark, Scala, R or MatLab, Tensorflow, PyTorch, Keras, Theano, MXNet or similar machine and deep learning frameworks)

  • Expertise with one or more of the following: Natural Language Processing (NLP), Deep Learning, Neural Networks, e.g., Reinforcement Learning, Sequence-to-Sequence, Adversarial Networks, Attention methods, Real Time Event Detection and Scoring, Time series analysis, Econometrics, etc.

  • Strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams.

EEO Employer

Apex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178