senior software engineer analytics

Pretium Packaging

<div>Grow boldly with Pretium and be a data and automation innovator!

About Us: Pretium Packaging, founded in 1992, is a leading supplier of injection-blow molded plastic containers, known for delivering superior quality, value, and customer service. With 20 manufacturing locations across North America, we provide innovative, high-performance packaging solutions to a diverse portfolio of brand owners in the U.S. and Canada.

We are looking for an Analytics Data Engineer to design, build, and maintain the curated data products that power reporting, analytics, and strategic decision-making across the organization. This role is responsible for transforming raw and operational data into trusted, business-ready datasets, semantic models, and analytical assets that enable self-service analytics and enterprise reporting. 
 
The Analytics Data Engineer owns the Silver, Gold, and Semantic layers of the analytics platform and serves as the bridge between foundational data engineering and business intelligence. Working closely with Data Engineers, BI Developers, Strategic Insights Analysts, and business stakeholders, this role ensures that data is governed, consistent, scalable, and aligned with business definitions and reporting requirements.

Remote location. 15% travel

What you&rsquo;ll own:
<ul>
<li>Analytics Engineering</li>
<li>Data Quality and Governance</li>
<li>Analytics Platform Support</li>
</ul>
What you&rsquo;ll bring:
<ul>
<li>5+ years of experience in analytics engineering, data engineering, business intelligence, or related disciplines.</li>
<li>Advanced SQL and data modeling expertise.</li>
<li>Oracle and IQMS a plus.</li>
<li>Experience designing dimensional models, semantic models, and analytical data products.</li>
<li>Strong understanding of medallion architecture concepts (Bronze, Silver, Gold).</li>
<li>Experience building and maintaining enterprise reporting datasets.</li>
<li>Ability to translate business requirements into scalable technical solutions.</li>
<li>Experience working with cross-functional business and analytics teams.</li>
<li>Strong communication, documentation, and problem-solving skills.</li>
</ul>
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Sr Analytics Data Engineer

ANDHealth

<div><h2 class="jobSectionHeader">Analytics Engineer, Care Operations</h2>
Full Time &ndash; Exempt
Columbus, Ohio 
AndHealth is on a mission to radically improve access and outcomes for the most challenging
chronic health conditions, with the goal of making world-class specialty care accessible and affordable to all. We partner with health systems, community health centers, and independent practices to remove barriers to care to ensure all people have access to the care they deserve.
None of that happens without good data. Every model we build, every intervention we design, and every conversation our care teams have with a partner is only as strong as the data behind it. That's where you come in.
About the role
We're looking for an Analytics Engineer to be the dedicated data partner to our Care Delivery team &mdash; the people on the front lines of getting patients into care and keeping them there. You'll take raw clinical and operations data and turn it into something a care leader can actually use: a trusted number on a dashboard, a governed metric everyone agrees on, a model that surfaces a problem before it becomes a crisis.
This is an embedded data partner role that sits close to Care Delivery. You'll be just as comfortable deep in a dbt model or a gnarly SQL query as you are in a room with a VP, translating what the data means and what to do about it. If you like owning a domain end to end &mdash; from the metric definition in the semantic layer to the dashboard a leader checks every morning &mdash; this role is for you.
Impact
The dashboards and data products you build will directly shape how AndHealth delivers care to thousands of patients managing chronic, often life-altering conditions. When you catch a data quality issue before it reaches a report, you're protecting the integrity of decisions that affect real people's access to care. When you build the semantic layer that lets an analyst self-serve a trusted metric instead of waiting on you, you're multiplying the entire team's ability to act. This isn't dashboards for dashboards' sake &mdash; it's the infrastructure that lets Care Operations see what's working, fix what isn't, and prove the value we bring to the partners and patients who depend on us. 
 
What you'll do:<ul><li>
Translate business decisions into metrics &mdash; work with stakeholders to understand the decision they're trying to make, help them articulate what they need, and define the governed metric that answers it.</li><li>
Partner with stakeholders from several teams to generate actionable insights that improve AndHealth's value to our partners and patients.</li><li>
Build internal and external reporting and dashboards that visualize what's happening, why it's happening, and what we should do next across pharmacy and care operations.</li><li>
Develop the semantic layer in dbt &mdash; defining governed metric definitions, curated datasets, and self-service data products that analysts and stakeholders can consume directly.</li><li>
Partner with Data and Software Engineering as a key consumer of the raw data &mdash; flagging upstream data quality issues and gaps, and helping shape staging transformations so data arrives in a usable form.</li><li>
Build a thorough testing suite across the data platform: schema tests, data quality checks, anomaly detection, and SLA monitoring so stakeholders can trust what they see.</li><li>
Partner with the client management team to build the value story for quarterly business reviews.</li><li>
Become a domain expert in your assigned area (care operations), translating business logic into accurate, scalable dbt data models.</li><li>
Proactively identify data quality issues, gaps in coverage, and opportunities to improve the reliability and usability of the data platform.</li></ul> 
Education &amp; Licensure Requirements:<ul><li>
Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.</li></ul> 
Other Skills or Qualifications:<ul><li>
6+ years of data analysis or related experience with significant experience partnering directly with business stakeholders.</li><li>
Proven ability to turn ambiguous business questions into concrete, governed metric definitions &mdash; comfortable leading the discovery conversation with stakeholders rather than just executing a spec.</li><li>
Strong analytical instincts &mdash; able to interrogate data, identify anomalies, trace them to their source, and communicate findings clearly to technical and non-technical audiences.</li><li>
Strong SQL proficiency &mdash; complex queries, CTEs, window functions, and performance-optimized transformations across large datasets.</li><li>
Hands-on experience with dbt (Core or Cloud) &mdash; preferred.</li><li>
Comfortable working within a dimensionally modeled warehouse &mdash; facts and dimensions, mart layers, and why transformations are separated into staging, intermediate, and mart layers &mdash; even if you haven't owned that architecture from the ground up.</li><li>
Experience creating reporting systems and visualizations; advanced experience with Excel and other data systems.</li><li>
Comfort working alongside ETL/ELT pipelines and partnering with data or software engineers on ingestion.</li><li>
Experience with a BI tool (Omni, Looker, Metabase, or similar), especially defining governed metrics and data products &mdash; preferred.</li><li>
Familiarity with healthcare data (clinical, pharmacy, billing, or claims from EHRs, TPAs, or pharmacy operating systems) &mdash; preferred.</li><li>
Advanced data modeling experience &mdash; designing non-trivial dbt/SQL models that encode real business logic.</li><li>
Experience with R or Python or another scripting language in data analysis work &mdash; preferred.</li><li>
Comfort working in ambiguous, fast-moving environments with competing priorities.</li></ul> 
Here's what we'd like to offer you:<ul><li>
Equal investment and support for our people and patients.</li><li>
A fun and ambitious growing environment with a culture that takes on important things, takes risks, and learns quickly.</li><li>
The ability to demonstrate creativity, innovation, and conscientiousness, and find joy in working together.</li><li>
A team of highly skilled, incredibly kind, and welcoming employees, every one of whom has something unique to offer.</li><li>
We know that the overall success of our business is a collaborative effort, and we strive to provide ongoing opportunities for our employees to learn and grow, both personally and professionally.</li><li>
Full-time employees are eligible to participate in our benefits package which includes Medical, Dental, Vision Insurance, Paid time off, Short- and Long-Term Disability, 401k match and more.</li></ul> 
We are an equal opportunity and affirmative action employer. We embrace diversity and are committed to creating an inclusive environment for all employees. Applicants will be considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, disability, or veteran status.
2lXGu4dNqn</div>

Analytics Engineer, Care Operations

McAfee

<div>Role Overview: We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value. 
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling. 
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time. Position Details:

About the role: 
Forecasting &amp; Planning<ul><li>
Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value.</li><li>
Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios.</li><li>
Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs.</li><li>
Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions.</li></ul>
Advanced Analytics &amp; Machine Learning<ul><li>
Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.</li><li>
Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement.</li></ul>
Marketing Insights &amp; Stakeholder Storytelling<ul><li>
Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.</li><li>
Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take.</li><li>
Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.</li><li>
Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.</li></ul>
About you:<ul><li>
7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment.</li><li>
Strong proficiency in Python, SQL, and common data science or statistical modeling libraries.</li><li>
Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.</li><li>
Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.</li><li>
Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.</li><li>
Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.</li></ul>
Preferred Qualifications<ul><li>
Master&rsquo;s degree or PhD in a quantitative discipline.</li><li>
Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.</li><li>
Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.</li><li>
Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.</li><li>
Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.</li><li>
Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.</li></ul>
Company Overview: McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:<ul><li>
Bonus Program</li><li>
401k Retirement</li><li>
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage</li><li>
Paid Parental Leave</li><li>
Support and Community Involvement</li><li>
14 Paid Company Holidays</li><li>
Unlimited Paid Time Off for Exempt Employees</li><li>
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year</li></ul>
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Pay Range: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Senior Data Scientist, Forecasting and Analytics

Faire

<div><div>About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</div>
Note: This is a remote role open to candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin. 
 
About this role

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.

Within the Platform group:
<ul>
<li>The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.</li>
<li>The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.</li>
</ul>
The teams also own relationships with relevant technology infrastructure vendors.

Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy &amp; Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.

We're looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.

What you'll do
<ul>
<li>Plan and execute on technology projects that scale with Faire's growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.</li>
<li>Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.</li>
<li>Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.</li>
</ul>
Qualifications
<ul>
<li>Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.</li>
<li>Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.</li>
<li>Strong SQL and Python skills and experience.</li>
<li>Data warehousing experience at Petabyte scale.</li>
<li>Snowflake, Airflow, Spark experience especially valuable.</li>
<li>Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.</li>
<li>Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.</li>
<li>Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.</li>
<li>Excellent communication, leadership, and influencing skills.</li>
<li>A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.</li>
<li>Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.</li>
</ul>
Salary Range

California &amp; New York: the pay range for this role is $276,000 to $379,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.<div>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Why you'll love working at Faire
<ul>
<li>Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li>Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li>Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li>Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li>Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</div></div>

Senior Staff Data Engineer - Platform Data and Analytics

Bristol Myers Squibb

<div>Working with Us
 
Challenging. Meaningful. Life-changing. Those aren&rsquo;t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You&rsquo;ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
<div>Location: Tampa, Florida
As a Senior Manager, Reporting and Analytics, you will be a key driver of data-driven decision-making and operational excellence within the organization. This role entails analyzing and interpreting performance data, identifying operational efficiencies, and providing actionable insights to stakeholders. Leveraging advanced analytics tools and methodologies, the individual will play a crucial role in strategic workforce planning and People Services process optimization.
Key Responsibilities
</div>As part of the People Services, Global Process Ownership team, partner with internal People Services (PS) to perform:
People Services Reporting &amp; Power BI Development
<ul><li>Design and develop interactive Power BI dashboards and automated reports that translate workforce data into clear, actionable insights for People Services leadership and stakeholders.
</li><li>Leverage data modeling to build accurate, scalable reporting solutions that support HR/Finance decision-making across recurring and ad-hoc needs.
</li></ul>Performance Measurement &amp; Data Governance
<ul><li>Define and support the development of performance measurement frameworks incorporating KPIs, goals, end-user reporting requirements, and service-level benchmarks aligned to People Services objectives.
</li><li>Ensure data accuracy and consistency across HR reporting by partnering closely with HRIS and HR systems teams.
</li></ul>HR Analytics Consulting, Stakeholder Partnership &amp; Workforce Insights
<ul><li>Serve as a trusted analytics partner to People Services teams, translating business questions into meaningful data solutions and accessible visual narratives tailored to both HR and senior business audiences.
</li><li>Collaborate with HR Centers of Excellence, HR Business Partners, and People Services leadership to understand reporting needs and deliver insights that support strategic HR initiatives and cross-functional objectives.
</li><li>Utilize descriptive, diagnostic, predictive, and prescriptive analytical approaches to surface trends, patterns, and insights across the employee lifecycle &mdash; from workforce planning and talent acquisition to performance and attrition.
</li></ul>Qualifications &amp; Experience
<ul><li>Bachelor's degree in Human Resources, Business Administration, Information Systems, Data Analytics, or a related field.
</li><li>5+ years of experience in HR/Finance Reporting &amp; Analytics or People Services operations, including hands-on work within platforms such as Workday and SAP SuccessFactors (data extraction, reporting configuration, and operational delivery).
</li><li>3+ years of experience acting as an internal analytics consultant, advising HR stakeholders and translating business needs into reporting solutions.
</li><li>Demonstrated understanding of HR/Finance data domains including workforce analytics, talent acquisition, performance management, compensation, and employee lifecycle metrics.
</li><li>Experience supporting or leading data governance initiatives, including data access controls, data quality frameworks, or stewardship programs
</li></ul>Technical Skills
<ul><li>Strong working knowledge of Power BI, including the ability to independently design, build, maintain, and enhance HR/Finance reports and dashboards.
</li><li>Proficient in data extraction, transformation, and using SQL or similar tools; experience with cloud-based data platforms such as Databricks and AWS (e.g., S3, Redshift) to support scalable reporting and analytics workflows
</li><li>Working knowledge of HR data privacy regulations and governance best practices, ensuring compliant and secure use of People Services data.
</li><li>Experience working with integrated data environments, including HR and Finance platforms, APIs, and connected data sources to support unified reporting.
</li></ul>Soft Skills &amp; Competencies
<ul><li>Strong analytical and problem-solving skills with the ability to work with large, complex HR datasets and translate findings into actionable recommendations.
</li><li>Excellent communication skills with the ability to present data findings clearly and persuasively to both HR and senior business audiences.
</li><li>Proven ability to influence and advise at all levels of an HR organization, building trust and fostering a data-informed culture.
</li><li>Actively listens to stakeholder and peer needs, provides constructive feedback, and contributes to a collaborative team learning environment.
</li><li>Demonstrates emotional intelligence, maintaining composure and sound judgment in ambiguous or high-pressure situations.
</li><li>Exhibits strong self-management skills and proactively seeks opportunities for personal and professional development.
 </li></ul>#LI-Hybrid
If you come across a role that intrigues you but doesn&rsquo;t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
<div><div><div><div><div><div><div><div><div><div><div><div><div><div>Compensation Overview:
</div></div></div></div></div></div></div></div></div></div></div></div></div></div>Tampa - FL - US: $114,670 - $138,947&amp;#xa;
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee&rsquo;s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
 
 
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. 
 
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
<ul><li>Health Coverage: Medical, pharmacy, dental, and vision care.
</li><li>Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li>Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
</li></ul>Work-life benefits include:
Paid Time Off
<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
Uniquely Interesting Work, Life-changing Careers
 
With a single vision as inspiring as &ldquo;Transforming patients&rsquo; lives through science&trade; &rdquo;, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection .
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
R1604788 : Senior Manager, Reporting and Analytics</div>

Senior Manager, Reporting and Analytics

Infosys

<div>In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below: 
<ul><li>Develop data preparation tasks, while identifying patterns or anomalies.</li><li>Ensure data readiness for advanced modeling.</li><li>Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.</li><li>Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.</li><li>Design and develop predictive models and data-driven analyses to address business challenges.</li><li>Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.</li><li>Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.</li><li>Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.</li><li>Proactively maintain models and implement improvements for accuracy and reliability.</li><li>Apply governance controls to mitigate risks and ensure compliance.</li><li>Analyze performance trends, recommend improvements, and document discrepancies for escalation.</li><li>Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.</li><li>Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.</li><li>Apply the predefined quality measurement framework at an individual task level in the project.</li><li>Deploy complex analytics tools or multi-system integration, while validating deployment success.</li><li>Participate in developing scripts or templates for repeated deployments tasks.</li><li>Contribute to analytic solutions, IP asset creation, and training initiatives.</li><li>Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.</li><li>Participate in and deliver analytics training, while contributing to content creation.</li><li>Provide input for segment and unit-level business plans.</li></ul> 
 
 
 
Your contribution to the team: 
 
<ul><li>Deliver scalable, high-quality analytics solutions aligned to business needs.</li><li>A knack for optimization, deployment and performance improvement of models.</li><li>The ability to drive innovation through advanced analytics, automation and thought leadership.</li><li>Enable team growth through knowledge sharing, training and standardization.</li><li>Support business planning with data-driven insights.</li></ul></div>

AI Engineer Analytics

Collaboration.Ai

<div><h1 class="jobSectionHeader">Who We Are</h1>
Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change.<h1 class="jobSectionHeader">
Our Products</h1>
NetworkOS &mdash; NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward.
CrowdVector &mdash; CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements.
To learn more about us, visit collaboration.ai.<h1 class="jobSectionHeader">
About the Role</h1>
You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge.
This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory &mdash; for customers in defense, healthcare, and regulated enterprise.
Agents in production. Pipelines that hold. Evals that keep everyone honest. 
 
This opportunity is remote with a preference for candidates in the Twin Cities area (Minneapolis, Saint Paul); however all candidates are encouraged to apply!<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Ship production agent systems &mdash; design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence</li><li>
Operationalize LLM quality &mdash; build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency</li><li>
Engineer data pipelines &mdash; robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates</li><li>
Own retrieval quality &mdash; hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression</li><li>
Accelerate with AI &mdash; build custom MCP tools and Agent Skills that make the whole engineering team measurably faster</li><li>
Execute alongside the team &mdash; pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code</li></ul><h2 class="jobSectionHeader">
Our Tech Stack</h2><ul><li>
Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary)</li><li>
AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others)</li><li>
Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards</li><li>
LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock</li><li>
Search &amp; Retrieval: Vector databases, OpenSearch, embedding models</li><li>
Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed</li><li>
Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability</li></ul><h2 class="jobSectionHeader">
What We're Looking For</h2>
Must Haves<ul><li>
7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering</li><li>
Production agentic/LLM application experience &mdash; built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows</li><li>
Data engineering background &mdash; robust, scalable pipelines for AI/ML workloads</li><li>
LLM operations experience &mdash; evals and observability for production LLM systems (quality, cost, latency)</li><li>
Production retrieval experience &mdash; vector databases and/or search engines (OpenSearch, Elasticsearch)</li><li>
Modern Python stack proficiency &mdash; FastAPI, Pydantic, async/await, modern dependency management</li><li>
AI-native workflows &mdash; demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development</li><li>
Experience with Docker, Kubernetes, and AWS</li><li>
US citizenship required (DoD contracting &mdash; IL4/IL5 environments &mdash; and FedRAMP compliance)</li></ul>
Nice-to-Haves<ul><li>
Deep agentic ecosystem experience &mdash; Agent Skills standards, custom MCP servers, agent SDKs across major vendors</li><li>
Advanced RAG expertise &mdash; GraphRAG, agentic RAG, contextual retrieval, reranking strategies</li><li>
Graph data experience &mdash; knowledge graphs, graph databases, or graph-based retrieval</li><li>
Model selection &amp; rightsizing &mdash; matching models to domain-specific use cases across quality, cost, and latency tradeoffs</li><li>
Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates</li><li>
Research background, open-source contributions, or an advanced degree in ML/IR/NLP</li></ul><h3 class="jobSectionHeader">
Why Join Collaboration AI?</h3>
Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents &mdash; with the autonomy to shape how it's built.
AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily &mdash; you'll both use and build them.
Work that matters. Defense, healthcare, and regulated industries &mdash; SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust.
Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.
DP5OkrdSXC</div>

Senior AI Engineer - Agentic Systems & Data Pipelines

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