Sr. Data Scientist - Boston, United States - Saxon Global

Description

Company:
Executive Office of Health and Human Services (EOHHS)


Position:
Sr. Data Scientist


Rate:
$68/hr. on C2C

Location: 500 Staples Drive, Framingham, MA 01702

Location Details:
onsite parking available Must be onsite 3 days a week in Framingham, MA from day - try your best for locals if possible


Visa:
No H1

Duration:6+

Must Haves:6+ years of experienceMust have Data ModelingMust have strong PythonMust have Machine Learning and AITry for the Retail experience


Preferred Qualifications:
A master's degree in a quantitative field or equivalent experience in an applied setting.
Any retail experience, with a focus in marketing or sales domains, would be a plus


Duties:
Potential to extend beyond initial end date, dependent on business needs

This role will play a pivotal part in shaping the future of our analytics initiatives, leveraging your expertise in advanced statistical methods, machine learning, and artificial intelligence.

If you are passionate about driving impactful business solutions through data science and thrive in a collaborative environment, we invite you to be a vital contributor to our exciting journey of transforming data into strategic advantages.

What you'll be doing:

Mines and analyzes complex and unstructured data sets using advanced statistical, machine learning and artificial intelligence methods for use in data driven decision making.

Performs research, analysis, and modeling on organizational data.

Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.

Contribute directly to the development of sophisticated models and the most advanced data science deliverables.
Be a thought partner to business leaders regarding the development and application of data science to our business.
Work closely with business stakeholders

What you bring to the table:

A quick mind with an outstanding analytical skillset, strategic sense, and business acumen.
Enthusiasm for finding innovative and effective solutions to business challenges.


A teaching mindset:
Eager to share knowledge and impart wisdom to team members and business stakeholders

A learning mindset:

Ready to learn about the business, discover new tools and techniques, and expand your skills and knowledge alongside your team.

Broad knowledge of data infrastructure and data science development platforms, with real world experience to help guide decisions about these tools.

Excellent communication skills. Capable of communicating nuanced business needs to technical experts, and technically challenging topics to business stakeholders.
Well-developed project management skills. Track record of leading complex projects to successful completion, and the ability to teach this skill to team members


Skills:

Basic Qualifications:

Bachelor's Degree or equivalent work experienceExpertise in PythonExperience with big data technologies and frameworks (Spark)6+ years of experience with deep expertise in the tools and practice of data science and predictive modeling including statistical modelling, machine learning and artificial intelligence, with a proven track record of delivering impactful business solutions.

Proven adeptness in working within a collaborative, cross-functional team environment.


Preferred Qualifications:
A master's degree in a quantitative field or equivalent experience in an applied setting.
Any retail experience, with a focus in marketing or sales domains, would be a plus

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