staff data scientist

Walmart

<div><h2 class="jobSectionHeader">Position Summary...</h2>
Role Overview and Strategic Impact 
 
The Staff Data Scientist within the Walmart US Decision Sciences team is a high-impact technical leader and a vital &quot;thinking partner&quot; to the US Store Operations executive team. Operating at the critical intersection of sophisticated data science and high-stakes retail strategy, this role is responsible for architecting the future of retail operations. You will not merely execute technical tasks; you will serve as a strategic bridge, translating complex methodologies into the actionable intelligence required to navigate the world&rsquo;s largest retail landscape. 
 
Success in this position requires a masterful synthesis of machine learning, operations research, and sharp business acumen. The Staff Data Scientist&rsquo;s primary value lies in the ability to embrace and resolve extreme ambiguity&mdash;defining the problem before solving it. By moving beyond one-off reports toward &quot;platform thinking,&quot; you will create scalable solutions that transform vast datasets into a narrative for strategic change. This role is fundamental to modernizing US Store Operations, ensuring that every operational shift is backed by rigorous data-based evidence and prescriptive foresight.<h2 class="jobSectionHeader">
What you'll do...</h2>
Key Responsibilities and Value Drivers
The responsibilities of a Staff Data Scientist extend far beyond technical execution to include organizational mentorship and the setting of technical standards. As a senior leader, you will exert cross-functional influence to deliver measurable outcomes that define the standard for excellence within the Decision Sciences team.<ul><li>
Strategic Partnership &amp; Stakeholder Management: By partnering directly with US Store Operations leadership, you will manage expectations and align technical roadmaps with core business priorities. This ensures that data science initiatives are never siloed but are instead driving the broader organizational roadmap, influencing how leadership identifies and pursues new ways to improve operational outcomes.</li><li>
Advanced Analytical Modeling (Causal &amp; Predictive): You will apply advanced causal inference modeling and deploy supervised/unsupervised machine learning models to identify hidden variables. By identifying true causal relationships rather than simple correlations, you move the organization from reactive analysis (what happened?) to prescriptive action (what will happen if we change X?), allowing for high-certainty strategic interventions.</li><li>
Metric Optimization &amp; Deep Dives: You will conduct exhaustive deep dives into metric fluctuations to provide concrete, data-backed recommendations for Store Operations. These deep dives transform noise into signals, preventing reactive decision-making and ensuring that US Store Operations leadership invests human and financial resources only in high-certainty interventions.</li><li>
Technical Standard-Setting: A non-negotiable requirement of this role is experience in delivery of production-quality, scalable, and maintainable code. As a Staff-level individual contributor, you set the bar for the entire team, ensuring that models are robust, reusable tools capable of performing at Walmart&rsquo;s massive global scale.</li></ul>
Core Qualifications and Technical Proficiency
To succeed in Walmart&rsquo;s fast-paced environment, candidates must possess a formidable academic foundation and the professional maturity to solve ambiguous problems with urgency.<ul><li>
Academic Foundation: A master&rsquo;s or PhD degree in a quantitative discipline&mdash;Computer Science, Statistics, Economics, Mathematics, or Operations Research&mdash;is required to navigate the mathematical complexities of Decision Sciences.</li><li>
Professional Experience: You must bring 5+ years of experience in data science or operations research. While deep technical skill is mandatory, prior experience in retail or supply chain domains is highly preferred to provide the necessary context for complex operational workflows.</li><li>
Technical Stack for Scalability: Proficiency in Python and SQL is essential, framed through the lens of building scalable ML solutions. You must demonstrate the ability to transform ambiguous, real-world business problems into automated, measurable solutions that function within a massive production environment.</li><li>
Communication &amp; Strategic Storytelling: Data visualization is a core competency, not an add-on. You must possess the ability to influence both technical peers and non-technical executives by translating complex model outputs into compelling narratives for change.</li></ul>
While these core competencies are mandatory for daily execution, the Decision Sciences team prioritizes candidates who possess the vision to contribute to our future-state capabilities.
Preferred Differentiators and Future-State Capabilities
We seek candidates who look beyond the immediate task to enhance the broader analytical ecosystem, moving the team toward highly automated, agentic systems.<ul><li>
Platform &amp; System Enhancement: Experience contributing to internal data science platforms, experimentation frameworks, or measurement systems. We value &quot;platform thinking&quot;&mdash;the transition from bespoke analyses to reusable tools that empower the entire organization.</li><li>
Automation &amp; Decision Support: Proven expertise in workflow automation and the development of scalable decision-support systems that reduce manual intervention for store leadership.</li><li>
Emerging AI &amp; Agentic Systems: Hands-on experience or significant exposure to AI agents, LLM-enabled workflows, and agent-based systems. This expertise is a significant strategic advantage as we transition into next-generation AI applications for Store Operations.</li></ul>
The ideal candidate is a unique blend of technical visionary and strategic influencer. Ready to operate with urgency and precision, the Staff Data Scientist is a high-impact leader poised to redefine the efficiency and effectiveness of Walmart US Store Operations through the power of Decision Science.
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Minimum Qualifications...</h2>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field<h2 class="jobSectionHeader">
Preferred Qualifications...</h2>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<h2 class="jobSectionHeader">
Primary Location...</h2>
802 Respect Dr, Bentonville, AR 72716, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

Staff, Data Scientist

Asana

<div>
 We're looking for a Staff Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. You'll drive Asana's acquisition playbook for the emerging LLM-driven channels and re-imagine new customer onboarding in the AI-era. As part of the PLG organization, you'll leverage data to influence how new users discover, learn about, and decide to start using and paying for Asana.
 
 
 Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.
 
 
 This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
 
 
 
 What you&rsquo;ll achieve:
 
 
 
 <ul>
 <li>
 Work closely with Product Managers and User Researchers (UXR) to understand the needs of our new customers in their first few minutes of interaction with Asana, employing data frameworks and methodologies to understand our user segments, visualize the new user funnel, identify levers for driving conversion revenue, and personalize the onboarding journey to ensure better adoption outcomes.
 </li>
 <li>
 Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap.
 </li>
 <li>
 Design experiments that measure product progress, and own key performance metrics.
 </li>
 <li>
 Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams.
 </li>
 <li>
 Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana&rsquo;s value proposition.
 
 
 </li>
 </ul>
 
 About you:
 
 
 
 <ul>
 <li>
 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies
 </li>
 <li>
 Proven track record driving acquisition and activation for B2B SaaS products, with specific experience in top-of-funnel growth and new user acquisition.
 </li>
 <li>
 0&rarr;1 builder mentality. You've demonstrated the ability to thrive in highly ambiguous environments where you're inventing new playbooks rather than executing existing ones. You're energized by pioneering work.
 </li>
 <li>
 Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.
 </li>
 <li>
 Strong analytical foundation with deep fluency in experimentation, A/B testing, and funnel optimization.
 </li>
 <li>
 Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product, engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity.
 </li>
 <li>
 Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy.
 </li>
 <li>
 Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.
 </li>
 <li>
 Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).
 </li>
 <li>
 Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modeling.
 </li>
 <li>
 Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
 
 
 </li>
 </ul>
 At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
 
 
 
 What We&rsquo;ll Offer
 
 
 
 Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
 
 
 For this role, the estimated base salary range is between $248,000&ndash;282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
 
 
 In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 
 
 We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
 
 
 <ul>
 <li>
 Mental health, wellness &amp; fitness benefits
 </li>
 <li>
 Career coaching &amp; support
 </li>
 <li>
 Inclusive family building benefits
 </li>
 <li>
 Long-term savings or retirement plans
 </li>
 <li>
 In-office culinary options to cater to your dietary preferences
 
 
 </li>
 </ul>
 These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 
 
 
 About Us
 
 
 
 Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
 
 
 
 Join Asana&rsquo;s Talent Network
 
 to stay up to date on job opportunities and life at Asana.
 
 
</div>

Staff Data Scientist

Discovered MENA

<div>
 
 💻
 
 Staff Data Scientist (Product Analytics)
 
 
 
 📍 Remote
 
 
 
 
 
 We&rsquo;re looking for a
 
 Staff Data Scientist (Product Analytics)
 
 to come in and
 
 own product analytics end-to-end
 
 with one of our clients. This is a high-impact role where you&rsquo;ll shape how data is used across the entire product lifecycle &mdash; from idea to launch and beyond.
 
 
 You&rsquo;ll be building a lot from the ground up 🚀 &mdash; setting up event tracking, defining experimentation frameworks, and making sure every product decision is backed by solid, reliable data.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Define and roll out event tracking standards across web, mobile, and backend
 </li>
 <li>
 Own and optimise key product funnels (onboarding, checkout, subscriptions, etc.)
 </li>
 <li>
 Build and scale an experimentation framework (A/B testing, guardrails, SRM checks, power analysis, MDE, etc.)
 </li>
 <li>
 Turn experiment results into clear, actionable insights
 </li>
 <li>
 Partner closely with Product &amp; Engineering to embed measurement into the dev lifecycle
 </li>
 <li>
 Deep-dive into product data (retention, adoption, segmentation) to guide roadmap decisions
 </li>
 <li>
 Work with Data Platform teams on data quality &amp; tooling
 </li>
 <li>
 Mentor analysts and help build a strong data culture 🧠
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 7+ years in product analytics / data science / applied stats
 </li>
 <li>
 Strong experience running A/B tests at scale (and understanding common pitfalls)
 </li>
 <li>
 Deep knowledge of event tracking &amp; instrumentation
 </li>
 <li>
 Advanced SQL + Python (pandas, scipy, statsmodels, etc.)
 </li>
 <li>
 Solid statistical foundation (hypothesis testing, power analysis, causal thinking)
 </li>
 <li>
 Experience defining product metrics (north star, guardrails, health metrics)
 </li>
 <li>
 Strong storytelling &amp; stakeholder communication skills
 </li>
 </ul>
 
 
 
 
 
 Bonus points:
 
 
 <ul>
 <li>
 If you speak Arabic
 </li>
 <li>
 Based in Saudi (Jeddah/Makkah) and experience in the GCC
 </li>
 <li>
 Background in e-commerce, marketplaces, or SaaS
 </li>
 <li>
 Experience with tools like Eppo, Statsig, LaunchDarkly, Optimizely
 </li>
 <li>
 Familiarity with Looker, Metabase, dbt, BigQuery, ClickHouse
 </li>
 <li>
 Exposure to Bayesian methods, sequential testing, or bandits
 </li>
 </ul>
 
 
 
 
 
 
 
 
 A bit more context:
 
 
 <ul>
 <li>
 You&rsquo;ll be building the experimentation culture from scratch (an amazing opportunity to make your mark)
 </li>
 <li>
 This will start as an IC role, with strong potential to grow into leadership/management over time
 </li>
 </ul>
 
 
</div>

Staff Data Scientist 📍 Remote

<div><h2 class="jobSectionHeader">Position Summary...</h2><h2 class="jobSectionHeader">
What you'll do...</h2>
Walmart Marketplace 
 
Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return &amp; refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. 
 
More about Marketplace: https://marketplace.walmart.com/
 
 
What you'll do: As a full stack Staff Data Scientist for Walmart, you will be responsible for building scalable end-to-end data science solutions for our data products.
<ul><li>Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management</li><li>
Can develop and maintain scalable MLOps infrastructure, such as building Kafka pipeline for unified logging and monitoring across multiple projects.</li><li>
Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments, monitoring performance and troubleshooting application latency or operational issues.</li><li>
Lead code quality and engineering best practices by conducing code reviews and mentoring junior MLEs.</li><li>
Can provide high-level architectural project guidance, break down complex tasks, and help resolve project challenges for the team.</li><li>
Build continuous, distributed and scalable training pipeline, inference pipeline and performance monitoring pipeline to be used across several Marketplace initiatives.</li><li>
Enhance data feedback/annotation workflows to improve efficiency of our labeling team</li><li>
Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.</li><li>
Collaborate cross-functionally with stakeholders to align AI solutions with Walmart&rsquo;s business objectives.</li><li>
Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.</li></ul> 
 
 
What you'll bring:
<ul><li>Very good knowledge of the foundations of machine learning and statistics</li><li>
Experience in machine learning, supervised and unsupervised and deep learning.</li><li>
Experience in analyzing the complex problems and translate it into data science algorithms</li><li>
Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
</li><li>Strong Experience in Python with excellent knowledge of Data Structures</li><li>
Strong Experience with big data platforms &ndash; Hadoop (Hive, Pig, Map Reduce, Scala, Spark)
</li><li>Hands on experience with Git</li><li>
Experience with SQL and relational databases, data warehouse</li></ul> 
 
 
About Walmart Global Tech 
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart&rsquo;s culture is a competitive advantage, and it&rsquo;s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. 
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
 
 
Benefits: 
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. 
 
Equal Opportunity Employer: 
Walmart, Inc. is an Equal Opportunity Employer &ndash; By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions &ndash; while being inclusive of all people. 
 
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
 
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
 
For information about benefits and eligibility, see One.Walmart.
 
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
 
<ul><li>Stock</li></ul>
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Minimum Qualifications...</h2>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field<h2 class="jobSectionHeader">
Preferred Qualifications...</h2>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<h2 class="jobSectionHeader">
Primary Location...</h2>
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Staff, Data Scientist

IDEXX Laboratories

Job Description
 
PRIMARY DUTIES AND RESPONSIBILITIES: 
Research, design, implement and validate cutting-edge algorithms using new statistical or other mathematical methodologies to analyze diverse sources of data to achieve targeted outcomes.
 
Develop, enhance and maintain advanced analytic models that generate new business insights or deliver predictive services to applications/teams within IDEXX.
 
Perform predictive modeling using machine learning techniques including aspects of data sourcing, data cleaning, data transformation, feature extraction/generation, model tuning, model selection, model evaluation and production deployment.
 
Collaborate with product management and engineering departments to understand company needs and devise possible solutions .
 
Work with cross-functional team members to identify and prioritize actionable, high-impact data insights across a variety of core business areas.
 
Keep up to date with latest trends in machine learning, artificial intelligence, big data mining and solutions.
 
Acts as internal consultant, advocate, mentor and change agent.
 
Collaborate and communicate with software developers in the translation of research model to production code.
 
Translate and effectively communicate complex concepts to a broad audience.
 
Collaborate and communicate with data integration teams when data quality issues are discovered.
 
Communicate results and ideas to key decision makers.
 
Maintains appropriate knowledge of clinical systems used across veterinary healthcare industry.
 
EDUCATION: 
Master's Degree or equivalent combination of education and experience required . PhD preferred.
 
REQUIRED SKILLS AND ABILITIES: 
Proven experience with data formats, structures and common methods in data transformation (CSV, XLS, JSON, Avro, Parquet as well as in relational and NoSQL databases such as MySQL, Oracle and HBase); data sources (cloud systems, AWS, MySQL, Oracle); SQL and data manipulation; big data tools (Spark, Hadoop).
 
Experience using core data science tools such as R, SAS, Python, Matlab , Java; boutique machine learning tools (TensorFlow, Theano, H2O Machine Learning).
 
Strong statistical foundation with broad knowledge of deterministic and probabilistic statistical methods.
 
Excellent pattern recognition and predictive modeling skills.
 
Thorough data exploration in advance of predictive modeling.
 
Technical knowledge of distributed computing platforms and common data process flows.
 
Classification – decision trees, logistic regression, random forest, SVM, neural networks
 
Regression – linear, nonlinear, boosted decision trees
 
Clustering – K-means, hierarchical, mixture modeling, anomaly detection
 
Time series – ARIMA
 
Dimensionality reduction – PCA, SVD
 
Experience in health care domain preferred
 
Natural curiosity to research and identify possible quantitative solutions to common business problems.
 
A strong business orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals.
 
Strong communication skills, both verbal and written, including ability to translate technical subject matter to non-technical audiences (both as a speaker and listener).
 
Fluency in the English language.
 
PHYSICAL DEMANDS: 
Extensive sitting, phone and computer use.
 
Some travel may be required .
 
WORK ENVIRONMENT: 
General office environment.
 
Normal office noise level, with occasional moderate noise.
 
LEVELING GUIDE: 
Technically Experienced
 
Designs and builds new data models utilizing off-the-shelf machine learning algorithms and tools.
 
Works efficiently and independently along the whole data science pipeline – acquisition, exploration, cleaning, modeling and evaluation.
 
Experience with various data structures and common methods in data transformation.
 
Excellent pattern recognition and predictive modeling skills.
 
Ability to create new tools and packages for data science use in statistical/data science programming environments such as R, SAS, Python/Pandas.
 
Ability to create new complex SQL data queries
 
Focused Experience with doing data sourcing, manipulation, analysis on Hadoop and/or Spark platform.
 
Skilled Core Competencies (building on Data Scientist)
 
Think Big – demonstrates strategic mindset and cultivates innovation.
 
Ensures Impact – talented at planning and driving results.
 
Works Across Organization – Skilled capabilities in building informal and formal networks, with strong persuasion skills.
 
Brings People with you – Capable of developing talent to meet both their career and organizational goals.
 
Some experience with Machine learning (supervised and unsupervised) modeling
 What you can expect from us
 Salary: $155,000 - $165,000
 Additional benefits include pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more!
 5% matching 401k
 Health / Dental / Vision Benefits Day-One
 Opportunity for annual cash bonus
 Why IDEXX
 We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people.
 So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.
 Let’s Pursue What Matters.
 IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
 IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws
 #LI-RM1

Salla

<div>
 
 About The Role
 
 
 
 We are looking for a Staff Data Scientist (Business Analytics) to lead strategic analytics and causal measurement for Salla's highest-impact growth bets. In this role, you will build the analytical frameworks that help leaders forecast outcomes, size opportunities, measure ROI, and understand true incrementality across the business.
 
 
 You will develop decision-grade metrics and segmentation models, and partner with senior leadership to ensure capital and effort flow to the highest-return initiatives. This is a senior individual-contributor role for someone who combines deep statistical craft with strong business instinct and clear communication.
 
 
 This role is ideal for someone who wants to shape how a pre-IPO e-commerce platform thinks about growth &mdash; moving the company from intuition-driven bets to evidence-driven strategy.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and maintain forecasting frameworks for revenue, GMV, merchant growth, and other key business drivers
 </li>
 <li>
 Lead opportunity sizing for new products, pricing changes, market expansions, and strategic initiatives
 </li>
 <li>
 Build causal impact measurement capabilities (e.g., synthetic control, diff-in-diff, geo-experiments) to quantify the true ROI of business investments
 </li>
 <li>
 Develop and maintain a repeatable measurement playbook that standardises how the company evaluates bets &mdash; covering incrementality, attribution, and counterfactual reasoning
 </li>
 <li>
 Create merchant and customer segmentation and scoring models that drive prioritisation across sales, marketing, and merchant success
 </li>
 <li>
 Define decision-grade metrics and KPIs in partnership with Finance, Commercial, and Product leadership
 </li>
 <li>
 Translate complex analytical findings into clear, actionable narratives for C-level and cross-functional stakeholders
 </li>
 <li>
 Mentor analysts and data scientists across the team on statistical methods, causal inference, and analytical rigour
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in product analytics, data science, or applied statistics at a technology company
 </li>
 <li>
 Deep hands-on experience designing, running, and analysing A/B tests at scale, including familiarity with common pitfalls (SRM, peeking, metric sensitivity, novelty effects)
 </li>
 <li>
 Strong understanding of event-tracking architectures and instrumentation best practices (e.g., event taxonomies, naming conventions, schema governance)
 </li>
 <li>
 Expert-level SQL and Python (pandas, scipy, statsmodels, or equivalent)
 </li>
 <li>
 Solid statistical foundation: hypothesis testing, confidence intervals, power analysis, multiple comparisons, and causal reasoning
 </li>
 <li>
 Experience defining and maintaining product health metrics, guardrail metrics, and north-star metrics
 </li>
 <li>
 Proven ability to synthesise experiment results and product data into coherent strategic narratives for product and engineering leadership
 </li>
 <li>
 Excellent communication skills, with a track record of influencing product decisions through data
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Proficiency working in Arabic
 </li>
 <li>
 Based in Saudi (Jeddah, Makkah)
 </li>
 <li>
 Experience in e-commerce, marketplace, or SaaS product analytics
 </li>
 <li>
 Familiarity with experimentation platforms (e.g., Eppo, Statsig, LaunchDarkly, Optimizely, or internal tooling)
 </li>
 <li>
 Experience with BI tools (Looker, Metabase, or equivalent) and modern data stacks (dbt, ClickHouse, BigQuery)
 </li>
 <li>
 Knowledge of Bayesian methods, sequential testing, or multi-armed bandit approaches
 </li>
 <li>
 Experience working in the GCC
 </li>
 </ul>
</div>

Staff Data Scientist - Business Analytics

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Staff Data Scientist I &ndash; Matching, you will own the end-to-end matching and dispatch architecture for Careem&rsquo;s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.
 
 
 This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.
 
 
 
 
 What You'll Do
 
 
 
 
 
 1. Matching &amp; Dispatch Architecture Ownership
 
 
 
 <ul>
 <li>
 Design and own the end-to-end matching and dispatch systems for Food &amp; Groceries.
 </li>
 <li>
 Architect scalable assignment frameworks incorporating:
 </li>
 <ul>
 <li>
 Static and dynamic assignment
 </li>
 <li>
 Online matching under uncertainty
 </li>
 <li>
 Batch and pooling optimization
 </li>
 <li>
 Continuous re-optimization with dynamic events
 </li>
 </ul>
 <li>
 Establish robust optimization standards and best practices across the organization.
 
 
 </li>
 </ul>
 
 2. Multi-Objective Optimization &amp; Algorithm Development
 
 
 
 <ul>
 <li>
 Formulate and implement multi-objective optimization models balancing:
 </li>
 <ul>
 <li>
 Cost minimization
 </li>
 <li>
 SLA compliance
 </li>
 <li>
 Marketplace efficiency
 </li>
 </ul>
 <li>
 Develop and deploy:
 </li>
 <ul>
 <li>
 Min-cost flow and assignment models
 </li>
 <li>
 Graph-based optimization frameworks
 </li>
 <li>
 Custom solvers and OR-Tools based solutions
 </li>
 </ul>
 <li>
 Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
 </li>
 <li>
 Continuously refine matching quality under high-scale marketplace conditions.
 
 
 </li>
 </ul>
 
 3. Real-Time Systems &amp; Production Delivery
 
 
 
 <ul>
 <li>
 Build production-grade real-time matching systems using Python, Spark, and Trino.
 </li>
 <li>
 Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
 </li>
 <li>
 Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
 </li>
 <li>
 Lead performance monitoring, diagnostics, and system optimization.
 
 
 </li>
 </ul>
 
 4. Experimentation &amp; Impact Measurement
 
 
 
 <ul>
 <li>
 Define evaluation metrics aligned with marketplace and operational objectives.
 </li>
 <li>
 Design and run controlled experiments to quantify matching improvements.
 </li>
 <li>
 Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
 </li>
 <li>
 Ensure decisions translate into measurable improvements in efficiency and SLA performance.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 6&ndash;8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
 </li>
 <li>
 Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Optimization and assignment algorithms
 </li>
 <li>
 Graph modeling and min-cost flow problems
 </li>
 <li>
 Multi-objective optimization
 </li>
 <li>
 Dynamic and online decision systems
 </li>
 </ul>
 <li>
 Hands-on experience with OR-Tools or custom optimization solvers.
 </li>
 <li>
 Proficiency in Python, SQL, Spark, and distributed data systems.
 </li>
 <li>
 Experience building real-time or near-real-time decision systems.
 </li>
 <li>
 Strong understanding of experimentation and performance evaluation in marketplace systems.
 </li>
 <li>
 Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;ll provide you
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Staff Data Scientist I - Matching

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