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Part Time Data Scientist Risk Jobs in Boston, MA

This degree prepares students for entry- and mid-level roles in analytics, such as data analyst ... Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching ...

In addition, we are seeking a part-time adjunct faculty member to lead History of Interiors I (MW ... Architecture and Design, Computing and Data Science, Engineering, Management, and Sciences and ...

... part-time schedule. You will work within a tight-knit group that delivers boutique-style ... Industry Depth: Experience representing clients in life sciences, tech, or infrastructure.

... part-time schedule. You will work within a tight-knit group that delivers boutique-style ... Industry Depth: Experience representing clients in life sciences, tech, or infrastructure.

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Showing results 1-20

Part Time Data Scientist Risk information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do part time data scientist risk jobs pay per year?

As of Jul 16, 2026, the average yearly pay for part time data scientist risk in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by part-time data scientists working in risk management roles?

Part-time data scientists in risk management often navigate challenges such as balancing workload within limited hours and ensuring timely delivery of critical analyses. Due to the high-stakes nature of risk assessment, they must prioritize tasks efficiently and maintain clear communication with full-time colleagues to stay aligned on evolving project needs. Additionally, they may need to quickly adapt to new data sources or regulatory requirements, making strong organizational skills and proactive learning essential. Collaboration with cross-functional teams, like compliance and engineering, is also key to ensuring comprehensive risk solutions.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist in Risk, and why are they important?

To thrive as a Part Time Data Scientist in Risk, you typically need expertise in statistics, data analysis, and programming languages like Python or R, along with a background in mathematics, statistics, or a related field. Familiarity with risk modeling tools, machine learning frameworks, and data visualization platforms such as SQL, TensorFlow, or Tableau is important. Strong problem-solving abilities, attention to detail, and clear communication help you translate complex data into actionable risk insights. These skills ensure accurate risk assessment and enable informed decision-making in dynamic business environments.

What does a Part Time Data Scientist in Risk do?

A Part Time Data Scientist in Risk analyzes data to help organizations identify, assess, and mitigate potential risks. They use statistical models, machine learning, and data visualization to uncover patterns that may signal financial, operational, or cybersecurity risks. Working part time, they may focus on specific projects such as fraud detection, credit scoring, or compliance monitoring. They collaborate with other teams to develop actionable insights and often create reports or dashboards to communicate their findings.
What are the most commonly searched types of Data Scientist Risk jobs in Boston, MA? The most popular types of Data Scientist Risk jobs in Boston, MA are:
What are popular job titles related to Part Time Data Scientist Risk jobs in Boston, MA? For Part Time Data Scientist Risk jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist Risk jobs in Boston, MA look for? The top searched job categories for Part Time Data Scientist Risk jobs in Boston, MA are:
Infographic showing various Part Time Data Scientist Risk job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Salesforce Data Cloud & Marketing Cloud Consultant

CRM Force

Boston, MA

Part-time

Posted 29 days ago


Job description

Title: Salesforce Data Cloud / Marketing Cloud Technical Consultant
Location: USA or Canada. 100% remote.
Visa: GC / Permanent Resident / Citizens only. No sponsorship available.
Job Type: Part-time Contract
Terms: 30hrs/week for 3 months (July 1 - Oct 1) with strong possibility of extension


If you're passionate about Salesforce technologies, have a flair for data-driven marketing solutions, and enjoy building personalized customer experiences, we'd love to hear from you. Help us create exceptional customer journeys through innovative Salesforce solutions!

Primary Responsibilities

Discovery & Solutioning

  • Lead client discovery sessions — extracting requirements from marketing, IT, and data stakeholders simultaneously

  • Translate business objectives into Data Cloud data models, Marketing Cloud architectures, real-time web and app personalization strategies, and activation workflows

  • Produce solution design documents you can defend in front of both the client's CTO and their CMO

Architecture & Technical Design

  • Design end-to-end architectures spanning Data Cloud ingestion, segmentation, identity resolution, and activation into Marketing Cloud and Personalization.

  • Define how behavioral signals captured in Personalization feed back into Data Cloud unified profiles and downstream journey logic — closing the loop between onsite behavior and cross-channel execution

  • Own the technical decision-making on model choices, integration patterns, and platform configuration trade-offs

Implementation

  • Build and configure full Marketing Cloud solutions: Journey Builder, Automation Studio, Email Studio, Mobile Studio, Content Builder

  • implement Data Cloud: data streams, data model objects, identity resolution rulesets, activation targets, and calculated insights

  • Deploy Salesforce Personalization: behavioral tracking, catalog setup, decisioning recipes, promotions, segment-based rules, and A/B testing — across web and app surfaces

  • Write AMPscript, SSJS, SQL, and API integrations — from scratch when needed, not just from templates

Client Engagement

  • Run working sessions and present progress independently — no handler required

  • Anticipate objections and have the technical depth to address them on the spot

  • Translate platform constraints into honest trade-offs the client can act on

Agentforce (Bonus)

  • Experience integrating Agentforce into marketing and service workflows — surfacing real-time Data Cloud context into agent interactions

  • Building agent actions against Marketing Cloud APIs, or deploying Agentforce for marketing use cases — puts you at the front of the queue.



Required Qualifications


Experience

  • 4–6 years in Salesforce Marketing Cloud — implementation, not just administration

  • 2+ years hands-on with Salesforce Data Cloud (data ingestion, identity resolution, segmentation, activation)

  • Hands-on experience with Salesforce Personalization — behavioral tracking, recipe configuration, real-time segment targeting, and integration with Marketing Cloud and Data Cloud

  • Demonstrated experience owning a full project lifecycle: discovery through go-live

Technical Skills

  • AMPscript, SSJS, SQL — fluent, not familiar

  • REST/SOAP API integrations with external systems

  • Data modeling for CDP use cases: unified profiles, calculated insights, activation audiences

  • Journey Builder architecture for multi-channel, behavior-triggered programs

  • Personalization sitemap implementation, event tracking, and Einstein recipe tuning

Soft Skills That Aren't Actually Soft

  • Can run a discovery session without a script

  • Can write a solution design doc a client stakeholder will read and a developer can build from

  • Can say "that won't work, and here's why" with confidence and tact

Certifications (Required)

  • Salesforce Marketing Cloud Developer

  • Salesforce Data Cloud Consultant

Certifications (Strongly Preferred)

  • Marketing Cloud Email Specialist

  • Salesforce Personalization Consultant

  • Salesforce AI Specialist

Education:

  • A bachelor's degree in Computer Science, Information Technology, Marketing, or a related field.


About you

  • You have been described as incredibly curious, you love to deep dive and understand problems from every angle & explore self led learning opportunities

  • You are a big believer in asking why? Why are we doing this? Why is this question being asked? You don't take things at face value and constantly search for improvement

  • Communication is your strong suit, be it through email or in a meeting with internal team members or customer executives. You are clear and concise!

  • You enjoy solving complex and intriguing problems and are proud when you are able to develop a complex solution

  • You are a seasoned Salesforce Marketing Cloud Developer with a passion for leveraging the Salesforce ecosystem to create cutting-edge marketing solutions.

  • You excel in a collaborative environment, communicating effectively with both technical and non-technical stakeholders