analytics scientist

Boston Consulting Group

<div><p>Who We Are</p><p>
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br>
<br>
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.</p><p></p><p><b><br>
We Are BCG X</b></p><p></p><p><br>
We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.</p><p><br>
What You'll Do</p><div><div><div><div>
Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.</div></div><div>
</div><div>
Our Forward Deployed AI Scientist and Senior Forward Deployed AI Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.</div><div>
</div><div>
Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.</div><div>
</div><div>
We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following:</div><ul><li>Comfortable in a client-facing role with the ambition to lead teams</li><li>Likes to distill complex results or processes into simple, clear visualizations</li><li>Explain sophisticated data science concepts in an understandable manner</li><li>Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)</li><li>Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data</li><li>Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients</li><li>Have strong project management skills</li></ul></div></div><p><br>
What You'll Bring</p><div><div><b>
REQUIREMENTS:</b></div><div>
</div><div>
4+ years of relevant experience.</div><div>
Master&rsquo;s or PhD degree program in Computer Research Science, Data Science, <i>Statistics</i>, Operations Research, or related field</div><p></p><p><b><br>
TECHNOLOGIES:</b></p></div><p></p><div><p><br>
Programming Languages: Python</p><p></p><p><br>
#BCGXjob</p></div><p><br>
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.</p></div>

Forward Deployed AI Scientist, Egypt - BCG X

BCG X

<div>
 Who We Are
 <br/>
 <br/>
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 <br/>
 <br/>
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 <br/>
 <br/>
 <strong>
  We Are BCG X
  <br/>
  <br/>
 </strong>
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 <br/>
 <br/>
 Our Forward Deployed AI Scientist and Senior Forward Deployed AI Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 <br/>
 <br/>
 Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.
 <br/>
 <br/>
 We Are Looking For Dedicated Individuals With a Passion For Data Science, Statistics, Operations Research And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 <br/>
 <br/>
 <ul>
  <li>
   Comfortable in a client-facing role with the ambition to lead teams
  </li>
  <li>
   Likes to distill complex results or processes into simple, clear visualizations
  </li>
  <li>
   Explain sophisticated data science concepts in an understandable manner
  </li>
  <li>
   Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
  </li>
  <li>
   Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
  </li>
  <li>
   Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
  </li>
  <li>
   Have strong project management skills
   <br/>
   <br/>
  </li>
 </ul>
 What You'll Bring
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 4+ years of relevant experience.
 <br/>
 <br/>
 Master&rsquo;s or PhD degree program in Computer Research Science, Data Science,
 <em>
  Statistics
 </em>
 , Operations Research, or related field
 <br/>
 <br/>
 <strong>
  Technologies
  <br/>
  <br/>
 </strong>
 Programming Languages: Python
 <br/>
 <br/>
 #BCGXjob
 <br/>
 <br/>
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 <br/>
 <br/>
 BCG is an E - Verify Employer. Click here  for more information on E-Verify.
</div>


WebstaurantStore

<div><h2 class="jobSectionHeader"><b>Job Summary</b></h2><p>
Webstaurant Store, the world&rsquo;s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization&rsquo;s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.</p><p>
This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL).</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p>
Responsibilities include, but are not limited to:</p><ul><li>
Advising on analysis and modeling techniques, selecting the best fit for structured &amp; unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.</li><li>
Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.</li><li>
Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).</li><li>
Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions.</li><li>
Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.</li><li>
Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses.</li><li>
Defend and explain the validity of predictive/ML models to those without a background in data science or statistics.</li><li>
Actively research new tools and technologies, staying on top of analytics news and best practices.</li></ul><h2 class="jobSectionHeader"><b>
Physical Requirements</b></h2><ul><li>
Work is performed while sitting/standing and interfacing with a personal computer.</li><li>
Requires the ability to communicate effectively using speech, vision, and hearing.</li><li>
Requires the regular use of hands for simple grasping and fine manipulations.</li><li>
Requires occasional bending, squatting, crawling, climbing, and reaching.</li><li>
Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.</li></ul><h2 class="jobSectionHeader"><b>
Remote Work Qualifications</b></h2><ul><li>
Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.</li><li>
Access to a home router and modem.</li><li>
A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).</li><li>
A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.</li><li>
The desire and ability to work and communicate with other team members via chat, webcam, etc.</li><li>
Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.</li></ul><h2 class="jobSectionHeader"><b>
Experience</b></h2><ul><li>
Minimum 5 years of work experience in Data Science, or a PhD in math, statistics, economics, or a modeling-related field.</li><li>
Advanced Python and SQL skills.</li><li>
You have a proven ability with statistical methods and advanced modelling techniques; extra points if you have experience with one or more of the following: ecommerce search, recommendation engines, dynamic pricing, or user matching/data cleanrooms.</li></ul><h2 class="jobSectionHeader"><b>
Education</b></h2><p>
This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.</p><h2 class="jobSectionHeader"><b>
Desired Traits &amp; Skills</b></h2><p>
The ideal candidate will possess the following qualities:
</p><ul><li>You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally.
</li><li>You have an Entrepreneurial Spirit: Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying &ldquo;What if we tried this?&rdquo; or &ldquo;Maybe this is a better way to do it?&rdquo; They have a knack for overcoming obstacles.</li><li>
You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set.</li><li>
You&rsquo;re an inquisitive, out-of-the box thinker who&rsquo;s continually on the lookout for opportunities to improve and innovate data science solutions.</li><li>
You have consistently high standards; your passion for quality is inherent in everything that you do.</li><li>
Familiarity with a variety of supervised/unsupervised/reinforcement learning methods.</li><li>
Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects.</li><li>
You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment.</li><li>
You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.</li></ul><h2 class="jobSectionHeader"><b>
Company Overview</b></h2><p>
The foodservice professional&rsquo;s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.</p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li>
Medical</li><li>
Vision</li><li>
Dental</li><li>
PTO</li><li>
Paid Maternity Leave</li><li>
Paid Parental Leave</li><li>
Life Insurance</li><li>
Disability</li><li>
Dependent Care FSA</li><li>
401(k) matching</li><li>
Employee Assistance Program</li><li>
Wellness Incentives</li><li>
Company Discounts</li><li>
AT&amp;T &amp; Verizon Discount</li><li>
Bonus Opportunities</li><li>
Accident Insurance</li><li>
Critical Illness Insurance</li><li>
Adoption Assistance</li></ul><h3 class="jobSectionHeader"><b>
Available at HQ Locations Only</b></h3><ul><li>
On-Site Fitness Centers</li><li>
Dog-friendly Offices</li></ul></div>

Sr Data Scientist

<div><h2 class="jobSectionHeader"><b>Job Summary</b></h2><p>
Webstaurant Store, the world&rsquo;s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization&rsquo;s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.</p><p>
This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL).</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p>
Responsibilities include, but are not limited to:</p><ul><li>
Advising on analysis and modeling techniques, selecting the best fit for structured &amp; unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.</li><li>
Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.</li><li>
Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).</li><li>
Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions.</li><li>
Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.</li><li>
Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses.</li><li>
Defend and explain the validity of predictive/ML models to those without a background in data science or statistics.</li><li>
Actively research new tools and technologies, staying on top of analytics news and best practices.</li></ul><h2 class="jobSectionHeader"><b>
Physical Requirements</b></h2><ul><li>
Work is performed while sitting/standing and interfacing with a personal computer.</li><li>
Requires the ability to communicate effectively using speech, vision, and hearing.</li><li>
Requires the regular use of hands for simple grasping and fine manipulations.</li><li>
Requires occasional bending, squatting, crawling, climbing, and reaching.</li><li>
Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.</li></ul><h2 class="jobSectionHeader"><b>
Remote Work Qualifications</b></h2><ul><li>
Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.</li><li>
Access to a home router and modem.</li><li>
A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).</li><li>
A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.</li><li>
The desire and ability to work and communicate with other team members via chat, webcam, etc.</li><li>
Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.</li></ul><h2 class="jobSectionHeader"><b>
Experience</b></h2><ul><li>
Minimum 2 years of work experience in Data Science, or a PhD in math, statistics, economics, or a modeling-related field.</li><li>
Advanced Python and SQL skills.</li><li>
You have a proven ability with statistical methods and advanced modelling techniques; extra points if you have experience with one or more of the following: ecommerce search, recommendation engines, dynamic pricing, or user matching/data cleanrooms.</li></ul><h2 class="jobSectionHeader"><b>
Education</b></h2><p>
This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.</p><h2 class="jobSectionHeader"><b>
Desired Traits &amp; Skills</b></h2><p>
The ideal candidate will possess the following qualities:
</p><ul><li>You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally.
</li><li>You have an Entrepreneurial Spirit: Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying &ldquo;What if we tried this?&rdquo; or &ldquo;Maybe this is a better way to do it?&rdquo; They have a knack for overcoming obstacles.</li><li>
You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set.</li><li>
You&rsquo;re an inquisitive, out-of-the box thinker who&rsquo;s continually on the lookout for opportunities to improve and innovate data science solutions.</li><li>
You have consistently high standards; your passion for quality is inherent in everything that you do.</li><li>
Familiarity with a variety of supervised/unsupervised/reinforcement learning methods.</li><li>
Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects.</li><li>
You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment.</li><li>
You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.</li></ul><h2 class="jobSectionHeader"><b>
Company Overview</b></h2><p>
The foodservice professional&rsquo;s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.</p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li>
Medical</li><li>
Vision</li><li>
Dental</li><li>
PTO</li><li>
Paid Maternity Leave</li><li>
Paid Parental Leave</li><li>
Life Insurance</li><li>
Disability</li><li>
Dependent Care FSA</li><li>
401(k) matching</li><li>
Employee Assistance Program</li><li>
Wellness Incentives</li><li>
Company Discounts</li><li>
AT&amp;T &amp; Verizon Discount</li><li>
Bonus Opportunities</li><li>
Accident Insurance</li><li>
Critical Illness Insurance</li><li>
Adoption Assistance</li></ul><h3 class="jobSectionHeader"><b>
Available at HQ Locations Only</b></h3><ul><li>
On-Site Fitness Centers</li><li>
Dog-friendly Offices</li></ul></div>

Data Scientist 3

<div><h2 class="jobSectionHeader"><b>Job Summary</b></h2><p>
Webstaurant Store, the world&rsquo;s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization&rsquo;s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.</p><p>
This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL).</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p>
Responsibilities include, but are not limited to:</p><ul><li>
Advising on analysis and modeling techniques, selecting the best fit for structured &amp; unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.</li><li>
Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.</li><li>
Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).</li><li>
Maintaining and updating our in-house Media Mix Models (MMM) and Multi-Touch Attribution (MTA) models to ensure they reflect the current state of marketing spend and value</li><li>
Designing, implementing, and analyzing lift / blackout / other experiments to continually improve our attribution models</li><li>
Partnering with business and technical stakeholders, including our Google account team, to translate complex retail challenges into data science solutions.</li><li>
Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.</li><li>
Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses.</li><li>
Defend and explain the validity of predictive/ML models to those without a background in data science or statistics.</li><li>
Actively research new tools and technologies, staying on top of analytics news and best practices.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Physical Requirements</b></h2><ul><li>
Work is performed while sitting/standing and interfacing with a personal computer.</li><li>
Requires the ability to communicate effectively using speech, vision, and hearing.</li><li>
Requires the regular use of hands for simple grasping and fine manipulations.</li><li>
Requires occasional bending, squatting, crawling, climbing, and reaching.</li><li>
Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.</li></ul><h2 class="jobSectionHeader"><b>
Remote Work Qualifications</b></h2><ul><li>
Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.</li><li>
Access to a home router and modem.</li><li>
A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).</li><li>
A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.</li><li>
The desire and ability to work and communicate with other team members via chat, webcam, etc.</li><li>
Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.</li></ul><h2 class="jobSectionHeader"><b>
Experience</b></h2><ul><li>
Minimum 2 years of professional experience in Data Science, or a PhD in mathematics, statistics, economics, or a related quantitative field.</li><li>
Advanced proficiency in Python and SQL, with strong foundation in statistical methods and advanced modeling techniques applied to marketing and growth problems.</li><li>
Hands-on experience with experimentation and causal inference frameworks, including incrementality testing, geo experiments, holdout designs, or quasi-experimental methods.</li><li>
Proven ability to partner with paid marketing teams to design, execute, and analyze experiments that inform budget allocation and channel strategy.</li><li>
Experience building, evaluating, or refining Media Mix Models (MMM) and/or Multi-Touch Attribution (MTA) models to quantify marketing impact and reduce uncertainty.</li><li>
Ability to translate complex model outputs into clear, credible insights that drive stakeholder buy-in and influence marketing decision-making, even without direct ownership of spend.</li><li>
Comfortable navigating trade-offs between model rigor, business timelines, and practical adoption by paid media stakeholders.</li></ul><h2 class="jobSectionHeader"><b>
Education</b></h2><p>
This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.</p><h2 class="jobSectionHeader"><b>
Desired Traits &amp; Skills</b></h2><p>
The ideal candidate will possess the following qualities:
</p><ul><li>You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally.
</li><li>You have an Entrepreneurial Spirit: Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying &ldquo;What if we tried this?&rdquo; or &ldquo;Maybe this is a better way to do it?&rdquo; They have a knack for overcoming obstacles.</li><li>
You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set.</li><li>
You&rsquo;re an inquisitive, out-of-the box thinker who&rsquo;s continually on the lookout for opportunities to improve and innovate data science solutions.</li><li>
You have consistently high standards; your passion for quality is inherent in everything that you do.</li><li>
Familiarity with a variety of supervised/unsupervised/reinforcement learning methods.</li><li>
Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects.</li><li>
You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment.</li><li>
You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.</li></ul><h2 class="jobSectionHeader"><b>
Company Overview</b></h2><p>
The foodservice professional&rsquo;s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.</p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li>
Medical</li><li>
Vision</li><li>
Dental</li><li>
PTO</li><li>
Paid Maternity Leave</li><li>
Paid Parental Leave</li><li>
Life Insurance</li><li>
Disability</li><li>
Dependent Care FSA</li><li>
401(k) matching</li><li>
Employee Assistance Program</li><li>
Wellness Incentives</li><li>
Company Discounts</li><li>
AT&amp;T &amp; Verizon Discount</li><li>
Bonus Opportunities</li><li>
Accident Insurance</li><li>
Critical Illness Insurance</li><li>
Adoption Assistance</li></ul><h3 class="jobSectionHeader"><b>
Available at HQ Locations Only</b></h3><ul><li>
On-Site Fitness Centers</li><li>
Dog-friendly Offices</li></ul></div>

Data Scientist - Marketing

Vertex Pharmaceuticals

<div><p><b>Job Description
</b></p><p><b>General Summary:
</b></p><p></p><p>Are you a data scientist with experience in natural language processing, generative AI, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare?
</p><p></p><p>Our enterprise data science team is looking for a Boston- or London-based data scientist with experience in using generative AI methods to solve complex business problems and a passion for addressing business needs through data analysis and solutions. You will work on a highly collaborative team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. You&rsquo;ll work side-by-side with internal partners to apply advanced analytics and generative AI to complex, high-value business problems and digital solutions to deliver measurable decisions and outcomes that contribute meaningfully to our business and patients.
</p><p></p><p><b>Key duties and responsibilities:
</b></p><ul><li><p>Collaborate with a team of data scientists, engineers, and strategists and our cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods
</p></li><li><p>Design and execute impact measurement plans (e.g. A/B tests) to quantify the value of these solutions
</p></li><li><p>Lead quantitative assessment and insight generation for enterprise document ecosystem
</p></li><li><p>Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents
</p></li><li><p>Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders
</p></li><li><p>Participate in the broader data science community to stay current with methodology, software, and data development and availability
</p></li><li><p>Bring an entrepreneurial and ethical mindset, openness, transparency, and collegiality to your work
</p></li></ul><p></p><p><b>Minimum qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics
</p></li><li><p>5+ years of experience developing data science solutions in an industry or academic context, with 2+ years of experience integrating generative AI methods into document solutions (e.g. custom document generation, summarization, QC)
</p></li><li><p>Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Snowflake, Databricks, Azure/Foundry, dbt)
</p></li><li><p>Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models)
</p></li><li><p>Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures such as retrieval-augmented generation, multi-agent architectures
</p></li><li><p>Experience with statistical/analytical methodologies and machine learning algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing)
</p></li><li><p>Exceptional communication skills and ability to present findings to non-technical audiences
</p></li><li><p>Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings
</p></li><li><p>Demonstrated history of adherence to highest standards of data ethics
</p></li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li><p>4+ years of industry GenAI data science experience
</p></li><li><p>Familiarity with LLMOps, including deployment, monitoring, and maintenance of GenAI data solutions
</p></li><li><p>Prior experience with using advanced analytics and/or developing advanced data visualizations in business settings
</p></li><li><p>Familiarity with data product UX/UI design and testing
</p></li><li><p>Prior exposure to clinical data, real-world data (EMR, claims), manufacturing or supply chain data, or life sciences-related research data
</p></li><li><p>Knowledge of the biopharma or healthcare industry
</p></li></ul><p></p><p>#LI-HYBRID
</p><p></p><p><b>Pay Range:
</b></p>$152,000 - $228,000
<p></p><p><b>Disclosure Statement:
</b></p><div><div><div><div><p>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
</p><p></p><p>At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</p></div></div></div></div><p></p><p><b>Flex Designation:
</b></p>Hybrid-Eligible Or On-Site Eligible
<p></p><p><b>Flex Eligibility Status:
</b></p><p>In this Hybrid-Eligible role, you can choose to be designated as:
<br>
1. <b>Hybrid </b>: work remotely up to two days per week; <b>or select
</b><br>
2. <b>On-Site </b>: work five days per week on-site with ad hoc flexibility.
</p><p>Note: The Flex status for this position is subject to Vertex&rsquo;s Policy on Flex @ Vertex Program and may be changed at any time.
</p><p></p><p>#LI-Hybrid<br>
<br>
</p><p></p><p><b>Company Information
</b></p><p>Vertex is a global biotechnology company that invests in scientific innovation.
</p><p></p><p>Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
</p><p></p><p>Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</p></div>

Principal Data Scientist, Digital & AI

Gallup

<div>
 <strong>
  Shape product road maps and strategies with data-driven analytics and insights.
  <br/>
  <br/>
 </strong>
 As a senior/staff data scientist focused on product analytics for our Technology team, you&rsquo;ll work with product managers, engineers and designers to define success, validate hypotheses, and measure user behavior and product performance.
 <br/>
 <br/>
 We&rsquo;re looking for self-driven, curious analytics partners who thrive in ambiguity, learn continually and help teams accelerate decision-making.
 <br/>
 <br/>
 At Gallup, our analytics reflect what the world is thinking, empower millions of people to thrive using their strengths, and help leaders create exceptional workplaces. If you want your work to influence products that bring that mission to life, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with product teams early in discovery, road map discussions and launch planning to turn goals into measurable outcomes
  </li>
  <li>
   Define and govern success metrics by building trusted metric definitions, dashboards and data models that enable self-serve decision-making
  </li>
  <li>
   Design and evaluate product experiments and analyses to assess the impact of new features, onboarding changes and product improvements
  </li>
  <li>
   Serve as a thought partner to product managers by pressure-testing hypotheses before implementation and confirming whether outcomes match expectations after launch
  </li>
  <li>
   Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next
  </li>
  <li>
   Improve analytics readiness by partnering with data platform and engineering teams on instrumentation, extraction, processing and modeling to ensure reliable, analysis-ready data
  </li>
  <li>
   Scale product analytics at Gallup by contributing to best practices, frameworks and repeatable ways of working
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes You Stand Out
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proactive problem-solving: You anticipate issues and opportunities in the data, translate analysis into action, and rapidly drive improvements to the user experience.
  </li>
  <li>
   Persistent resourcefulness: You independently create clarity from ambiguity, connecting distributed data, validating quality and delivering insights without relying on fully defined systems.
  </li>
  <li>
   Trusted product partnership: You collaborate closely with product, engineering, design, research and operations teams to solve complex problems, and confidently deliver constructive, data-backed recommendations.
  </li>
  <li>
   Experimentation judgment: You know when A/B tests are feasible and when they aren&rsquo;t, and you can choose rigorous alternatives to answer product questions.
  </li>
  <li>
   Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on.
  </li>
  <li>
   Curious culture-builder: You experiment with emerging tools, including AI, to improve team effectiveness and actively build data fluency so partners can confidently navigate metrics and insights.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required
  </li>
  <li>
   At least five years of experience in product analytics or data science required; eight or more years of experience preferred
  </li>
  <li>
   At least five years of experience with SQL for analysis in modern data environments required
  </li>
  <li>
   At least five years of experience with Python and data science tool kits (e.g., pandas) required
  </li>
  <li>
   Experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights required
  </li>
  <li>
   Strong statistical intuition, analytical rigor, and experience validating data and performing quality checks required
  </li>
  <li>
   High fluency with MPP databases such as Snowflake or Redshift required
  </li>
  <li>
   Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred
  </li>
  <li>
   A commitment to working on-site at Gallup&rsquo;s Omaha office at least three days per week required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Gallup
  <br/>
  <br/>
 </strong>
 At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.
 <br/>
 <br/>
 Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates&rsquo; wellbeing. We also offer an estimated annual salary range of $135,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual&rsquo;s education, experience and skills.
 <br/>
 <br/>
 Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
 <br/>
 <br/>
 To review Gallup&rsquo;s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
 <br/>
 <br/>
</div>


Senior/Staff Data Scientist, Product Analytics

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