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Remote Aws Machine Learning Jobs in Wareham, MA (NOW HIRING)

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What cities near Wareham, MA are hiring for Remote Aws Machine Learning jobs?

Cities near Wareham, MA with the most Remote Aws Machine Learning job openings:

Manager, Commercial Analytics & Revenue Growth

Ocean Spray Cranberries

Lakeville, MA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Ocean Spray rating

9.0

Company rating: 9.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

13th of 443 rated food and drinks producers


Job description

Ocean Spray is hiring for a(n) Manager, Commercial Analytics & Revenue Growth! We're a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role - it always comes back to this: we're a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all - and we've been making our own way ever since.

Position Location: We're all about flexibility! This will be a hybrid role based out of our corporate headquarters in Lakeville, MA with Mondays and Fridays remote.

The Manager, Commercial Analytics & Revenue Growth is responsible for transforming data into actionable business insights that drive profitable growth, operational effectiveness, and strategic decision-making across Ocean Spray. This role applies advanced analytics, statistical modeling, forecasting methodologies, and optimization techniques to address complex business challenges and support fact-based decision-making.
Working closely with Revenue Growth Management, Marketing, Sales, Demand Planning, Finance, Innovation, and Information Technology, this position delivers analytical solutions that improve business performance, identify growth opportunities, and optimize commercial investments. The role serves as a trusted analytical partner, translating complex data into practical recommendations that create measurable business value.
The ideal candidate combines strong technical expertise, business acumen, and communication skills with a passion for solving complex problems through data and analytics.

A Day in the Life...

Advanced Analytics & Modeling

  • Develop, maintain, and enhance commercial, forecasting, and optimization models that drive growth, improve business performance, and support strategic decision-making.
  • Execute Marketing Mix Modeling (MMM) analyses to evaluate marketing effectiveness and optimize investment allocation across brands, channels, tactics, and customer segments.
  • Develop pricing, promotion, and elasticity analyses to quantify business impact and support revenue growth strategies.
  • Design and evaluate controlled experiments, A/B tests, and test-and-learn initiatives to measure business impact and support decision-making.
  • Create scenario analyses and simulation models to evaluate strategic alternatives and support business planning activities.
  • Apply statistical, econometric, machine learning, and optimization methodologies to solve business challenges and uncover actionable opportunities.
  • Conduct ad hoc analytical projects and modeling initiatives to address evolving business questions and strategic priorities.

Business Partnership & Insights

  • Partner with cross-functional stakeholders to understand business objectives and translate them into analytical solutions.
  • Translate analytical findings into actionable recommendations, quantify business impact, and communicate results to support fact-based decision-making.
  • Support business initiatives through performance measurement, business case development, and analytical consultation.
  • Collaborate with external analytics providers and syndicated data partners, including Circana and Nielsen, to support analytical initiatives and validate methodologies.

Data & Analytics Excellence

  • Analyze large, complex datasets from internal and external sources to identify trends, insights, risks, and opportunities.
  • Ensure analytical consistency and quality through standardized methodologies, documentation, and validation practices.
  • Collaborate with internal and external partners to ensure data quality, integrity, accessibility, and usability.

Communication & Storytelling

  • Develop clear, compelling, and executive-ready presentations and reports that communicate analytical findings, business implications, opportunities, risks, and recommendations to technical and non-technical audiences.
  • Present findings and recommendations to stakeholders and leadership teams to support alignment and action.

What We Are Looking For:

Education & Experience

  • Bachelor's degree in Statistics, Economics, Data Science, Mathematics, Business Analytics, Computer Science, or a related quantitative field required.
  • Master's degree preferred.
  • 5+ years of progressive experience in advanced analytics, econometric modeling, revenue growth analytics, data science, or related quantitative disciplines.
  • Consumer Packaged Goods (CPG), retail, and syndicated data experience strongly preferred.

Technical Skills

  • Advanced proficiency in Python, SQL, SAS, and modern analytics platforms.
  • Experience developing statistical, econometric, predictive, causal, machine learning, and optimization models.
  • Experience with Marketing Mix Modeling, pricing and promotion analytics, trade optimization, controlled store testing, A/B testing, forecasting, and revenue growth management analytics.
  • Experience working with large structured and unstructured datasets.
  • Knowledge of Power BI, Tableau, or similar data visualization and business intelligence platforms.
  • Experience with Circana (IRI), Nielsen, retail scanner data, syndicated data sources, and internal sales and financial data preferred.

Leadership & Business Skills

  • Strong business acumen with the ability to connect analytical findings to commercial outcomes.
  • Ability to influence stakeholders across multiple functions and organizational levels.
  • Excellent project management, prioritization, and organizational skills.
  • Strong communication, presentation, and storytelling abilities.
  • Demonstrated ability to manage multiple analytical initiatives and deliver high-quality results in a fast-paced environment.
  • Strong problem-solving skills, intellectual curiosity, and commitment to continuous improvement.

Education:

Bachelor's or University Degree (Required) Master's Degree (Preferred)

Work Experience:

At least 7 Years of Experience

Annual Salary:

$116,300 - $145,400

The base salary range information above serves as a guideline of the position's typical hiring range. We value and appreciate what makes you unique and will consider a variety of factors when determining an offer. These factors include, but are not limited to, your skills and experience, external and internal benchmarks, as well as overall company considerations. Certain positions may be eligible for short-term and long-term incentive rewards. We also offer a competitive and comprehensive benefits program that supports all aspects of your health and well-being.

Benefits:

  • Complete insurance package on Day-1 that includes a plethora of health and wellness programs

    • Health, Dental and Vision insurance

    • Health savings account

    • Flexible spending account

    • Life and accident insurance

    • Employee assistance program

    • Telehealth services

    • 1:1 health coaching

    • Supportive benefits for all the stages of your life

  • 401(k) with up to 6% Company matching; additional potential discretionary match at year-end

  • Short-Term Incentive/Performance bonuses

  • Flexible scheduling options

  • Vacation pay, up to three weeks of time (pro-rated for your first year of employment)

  • Holiday pay for 12 holidays

  • Career development and growth opportunities

  • Tuition/Education assistance programs

  • Access to LinkedIn Learning

  • Scholarship programs for children of employees

  • Parental leave

  • Bright Horizons Family Solutions - Back-up care, tutoring, etc.

  • Adoption assistance

  • Bereavement leave

  • Up to $300 fitness reimbursement

  • Up to $300 massage reimbursement

  • Employee appreciation events

  • Employee discounts

  • Charitable giving

Who We Are:

You might have our iconic cranberry juice in your fridge or have gotten into heated holiday debate about what's better - canned or fresh cranberry sauce. But did you know that the hardworking people growing the superfruit in our products are 700 family farmers that own our cooperative? They entrust us with what is most precious to them to create new and innovative products that will delight consumers and grow this beloved brand today and into the future.
Team members, farmers, consumers and communities alike--we value what makes us unique and strive to connect our farms to families for a better life by living our values:

  • Grower Mindset - We embrace our grower-owners innovative spirit and heritage through confidence, learning and focus on the future.
  • Sustainable Results - Guided by purpose, we are focused on delivering results for our grower-owners.
  • Integrity Above All - We are ethical, doing the right thing for our grower-owners, customers, consumers and each other
  • Inclusive Teamwork - We build diverse and inclusive teams that strengthen our cooperative.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

For MA Applicants - It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.


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