advanced analytics specialist

Attune

<div>
 
 Position Summary
 
 
 
 The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to support strategic decision-making across the organization. This role partners closely with stakeholders in Underwriting, Actuarial, Claims, Product, Revenue, and Customer Experience to translate business questions into analytical solutions that improve operational performance, risk evaluation, and customer outcomes.
 
 
 The Data Scientist develops predictive models, explores new data sources, and generates actionable insights that support pricing, underwriting, claims management, and operational efficiency. This role also contributes to the development and operationalization of models and analytics solutions by working with engineering and product teams to integrate insights into business tools, dashboards, and workflows.
 
 
 
 Essential Duties and Responsibilities
 
 
 
 <ul>
 <li>
 Partner with stakeholders across Underwriting, Actuarial, Claims, Product, and Revenue to identify opportunities where data can inform better business decisions.
 </li>
 <li>
 Translate business questions into analytical frameworks, hypotheses, and statistical approaches.
 </li>
 <li>
 Analyze customer, broker, and operational data to identify trends, anomalies, and opportunities to improve engagement, retention, and operational performance.
 </li>
 <li>
 Conduct exploratory data analysis to investigate business problems and generate actionable insights.
 </li>
 <li>
 Communicate analytical findings through visualizations, dashboards, and written summaries.
 </li>
 <li>
 Develop predictive models and statistical analyses to support pricing, underwriting, claims, reserving, and operational initiatives.
 </li>
 <li>
 Apply machine learning techniques including regression, classification, clustering, and other statistical learning methods to solve complex business problems.
 </li>
 <li>
 Evaluate model performance and continuously improve models based on new data and changing business needs.
 </li>
 <li>
 Explore internal and third-party data sources to enhance model performance and uncover new insights.
 </li>
 <li>
 Collaborate with engineering and product teams to deploy analytical models into production systems and operational workflows.
 </li>
 <li>
 Support the implementation of MLOps practices, including model versioning, deployment pipelines, monitoring, and lifecycle management.
 </li>
 <li>
 Monitor models for performance degradation, bias, or drift and implement improvements as needed.
 </li>
 <li>
 Document model assumptions, methodology, and validation processes to support transparency and governance.
 </li>
 <li>
 Contribute to the improvement of internal data infrastructure, ETL pipelines, and reporting architecture.
 </li>
 <li>
 Support the development and optimization of dashboards and analytics tools used by business teams.
 </li>
 <li>
 Ensure data quality, consistency, and reliability across analytical workflows.
 </li>
 <li>
 Identify opportunities to automate recurring analyses and reporting processes.
 </li>
 <li>
 Work closely with business stakeholders to ensure analytics solutions align with operational needs and strategic objectives.
 </li>
 <li>
 Partner with product and engineering teams to integrate analytical capabilities into internal platforms and decision tools.
 </li>
 <li>
 Provide analytical support for ad-hoc requests and strategic initiatives.
 </li>
 <li>
 Other duties as assigned.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required.
 </li>
 <li>
 Advanced degree (MS or PhD) preferred.
 </li>
 <li>
 3 - 7 years of experience in data science, advanced analytics, or statistical modeling roles.
 </li>
 <li>
 Experience working with large datasets and complex analytical problems.
 
 
 </li>
 </ul>
 
 Knowledge, Skills, and Abilities
 
 
 
 <ul>
 <li>
 Strong programming skills in Python and SQL.
 </li>
 <li>
 Experience with statistical modeling and machine learning techniques.
 </li>
 <li>
 Experience with data visualization and analytical tools (e.g., Tableau, Power BI, Looker, or similar).
 </li>
 <li>
 Ability to translate complex analytical findings into clear business insights.
 </li>
 <li>
 Strong problem-solving and critical thinking skills.
 </li>
 <li>
 Ability to collaborate effectively with both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working with Property &amp; Casualty (P&amp;C) insurance data, including underwriting, claims, or pricing analytics.
 </li>
 <li>
 Familiarity with advanced statistical techniques such as Bayesian modeling or hierarchical models.
 </li>
 <li>
 Experience with MLOps frameworks, model deployment pipelines, and model monitoring tools.
 </li>
 <li>
 Experience working in cloud data environments (AWS, GCP, Azure).
 </li>
 <li>
 Familiarity with data engineering concepts, including ETL pipelines and data warehouse architectures.
 </li>
 <li>
 Experience conducting experiments or A/B testing to evaluate business initiatives.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 This position primarily operates in a professional office or remote environment and routinely uses standard office equipment such as computers and phones. The ability to remain stationary for extended periods and operate a computer is required.
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Flexible PTO
 </li>
 <li>
 Generous parental and caregiver leave
 </li>
 <li>
 401K match
 </li>
 <li>
 Excellent medical, dental, and vision plans
 </li>
 <li>
 Remote-first culture
 </li>
 <li>
 Annual $1000 tuition reimbursement stipend
 </li>
 <li>
 And more!
 
 
 </li>
 </ul>
 The expected annual salary for this position is between $120,000 and $150,000, with the opportunity to earn an annual bonus of up to 15% of the base salary.
</div>

Data Scientist

Coca-Cola HBC

<div>
 
 Department: Data Insights &amp; Artificial Intelligence
 
 
 Location: Cairo, Egypt
 
 
 
 Purpose of the Role
 
 
 
 As a Data Scientist in our Data Science &amp; AI team, you will play a pivotal role in Coca Cola HBC&rsquo;s data-driven transformation. You will develop advanced analytics solutions and turn strategic data assets into actionable insights across our business (spanning 29+ countries). In this mid-senior role, you&rsquo;ll apply your expertise in analytics &amp; machine learning to solve real-world problems and drive value in areas such as route-to-market, omnichannel sales, revenue growth, supply chain, and finance. You will work closely with cross-functional teams to inform decision-making and help embed a data-driven culture. We operate within an Agile delivery model, so you&rsquo;ll also collaborate through tools like Azure DevOps to iterate on solutions quickly and ensure high-quality deployments into production.‑Cola HBC&rsquo;s data-driven transformation. You will develop advanced analytics solutions and turn strategic data assets into actionable insights across our business.
 
 
 In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Dive into large and complex datasets to identify patterns and opportunities.
 </li>
 <li>
 Translate analytical findings into actionable insights and communicate them effectively.
 </li>
 <li>
 Apply statistical and machine learning techniques to solve business problems.
 </li>
 <li>
 Spearhead the development of pilot solutions and support the lifecycle of the product.
 </li>
 <li>
 Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
 </li>
 <li>
 Work with Agile/SAFe delivery models and respective ways of working.
 </li>
 <li>
 Stay up to date with AI/ML advancements and share knowledge with the team.
 </li>
 </ul>
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
 </li>
 <li>
 2 to 4 years of hands-on experience in data science or advanced analytics.
 </li>
 <li>
 Experience with ML and statistics, probabilities, regression and classification
 </li>
 <li>
 Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
 </li>
 <li>
 Problem solving skills, strong analytical mindset and attention to detail
 </li>
 <li>
 Proficiency in Python, Pyspark and SQL.
 </li>
 <li>
 Experience working with big data &amp; ML tools (ML Studio, Databricks ML, Azure Foundry). Azure Databricks is a strong plus.
 </li>
 <li>
 ML Studio, Databricks ML, Azure Foundry
 </li>
 <li>
 Experience in Consumer Product Goods domain is considered a plus.
 </li>
 </ul>
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.
 
 
 
 
</div>

Delta Faucet Company

<div>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.
Your Role at Delta Faucet
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives. 
Responsibilities
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.<ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul> 
Qualifications<ul><li>
4+ years of experience in data science, advanced analytics, or applied machine learning roles.</li><li>
4+ years of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li>
4+ years of experience using Python for data analysis, modeling, and experimentation.</li><li>
4+ years of experience writing and refining complex SQL queries against large, structured datasets.</li><li>
3+ years of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li>
2+ years of experience working in a modern analytics platform (e.g., Databricks, Spark/PySpark, or similar).</li><li>
1+ years of hands-on‑ experience applying generative AI technologies (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul>
Preferred Qualifications<ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul> 
Why Join Us?
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.
Here are some of the benefits we offer for your personal and professional growth:<ul><li>
Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li>
Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li>
Learning &amp; Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li>
Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><h2 class="jobSectionHeader">
Company: Delta Faucet Company</h2>
Full time
Hiring Range: $88,700.00 - $139,260.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Delta Faucet Company (the &ldquo;Company&rdquo;) is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Delta Faucet Company is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English &amp; Spanish 
E-verify Right to Work Poster: English, Spanish
#LI-Remote</div>

Applied Data Scientist

Walmart

<div><h2 class="jobSectionHeader">Position Summary...</h2>
We are seeking a highly skilled Staff Data Scientist to join the Decision Sciences team at Walmart, supporting US Store Operations. In this role, you will lead advanced analytics, experimentation, and measurement efforts that enable data-driven decisions across store operations initiatives. You will partner with business and technical stakeholders to define success metrics, evaluate impact, and generate insights that improve operational outcomes.
 
 
A key part of this role is supporting and enhancing the experimentation and measurement platform developed by the team, with a focus on automation, scale, and usability. The ideal candidate combines strong statistical and machine learning expertise with business acumen, platform thinking, and the ability to influence across functions. This role also requires going beyond experiment readouts by conducting deep dives that help the business understand the true impact of initiatives, what drove value, what did not, and what actions should be taken next.<h2 class="jobSectionHeader">
What you'll do...</h2><div><div>
Responsibilities</div><div><ul><li>
Partner with US Store Operations and cross-functional stakeholders to identify high-impact problems and translate them into experimentation, measurement, and analytical solutions.</li></ul></div><div><ul><li>
Design and interpret experiments and measurement frameworks, including defining success metrics, KPIs, and guardrails for key initiatives.</li></ul></div><div><ul><li>
Apply causal inference, statistical modeling, and machine learning to evaluate impact and generate actionable insights.</li></ul></div><div><ul><li>
Conduct post-experiment deep dives to understand true business impact, identify value drivers, and determine what worked, what did not, and the best next course of action.</li></ul></div><div><ul><li>
Analyze changes in key metrics and perform root-cause analyses to uncover opportunities for operational improvement.</li></ul></div><div><ul><li>
Enhance the team&rsquo;s experimentation and measurement platform through automation, scalability, and improved analytical rigor.</li></ul></div><div><ul><li>
Communicate findings and recommendations clearly to business and technical stakeholders, including senior leadership.</li></ul></div><div>
Qualifications</div><div><ul><li>
Master&rsquo;s or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field.</li></ul></div><div><ul><li>
5+ years of experience in data science, decision science, experimentation, or advanced analytics roles.</li></ul></div><div><ul><li>
Strong expertise in experimentation, A/B testing, quasi-experimental methods, and causal inference.</li></ul></div><div><ul><li>
Hands-on experience building and applying statistical, predictive, and machine learning models to solve business problems.</li></ul></div><div><ul><li>
Strong programming skills in Python and SQL with experience writing production-quality, scalable, and maintainable analytical code.</li></ul></div><div><ul><li>
Experience building analytical frameworks and translating ambiguous business problems into measurable solutions.</li></ul></div><div><ul><li>
Familiarity with data visualization and storytelling tools to communicate insights effectively.</li></ul></div></div><div><div><ul><li>
Strong stakeholder management and communication skills, with the ability to influence decisions across business and technical teams.</li></ul></div><div><ul><li>
Ability to operate in a fast-paced environment, manage multiple priorities, and deliver high-quality work with urgency.</li></ul></div><div>
Preferred Qualifications</div><div><ul><li>
Experience in retail, store operations, supply chain, or other operational business environments.</li></ul></div><div><ul><li>
Experience contributing to or enhancing internal data science platforms, experimentation platforms, or measurement systems.</li></ul></div><div><ul><li>
Experience with workflow automation, scalable analytical tooling, or decision-support systems.</li></ul></div><div><ul><li>
Exposure to or hands-on experience with agent-based systems, AI agents, or LLM-enabled workflow automation.</li></ul></div></div>
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ㅤ
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&lrm;<h2 class="jobSectionHeader">
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 - Experimentation & Measurement

<div>
 
 
 Department:
 
 Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 
 
 
 
 
 We are looking for a
 
 Senior Data Scientist
 
 who combines strong hands-on expertise with the ability to lead and scale analytics solutions in a complex, multi-market environment. In this role, you will take ownership of delivering advanced analytics solutions, generating actionable insights and driving tangible business impact, with a strong focus in the route-to-market and commercial effectiveness areas. You will work closely with business stakeholders, translating ambiguous problems into scalable data products deployed across 29 markets. Beyond individual contribution, you will play a key role in shaping our data science practices and, over time, lead and mentor a small team of data scientists, ensuring high standards in both technical delivery and business impact. This is a high-impact role suited for someone who can independently drive complex problems end-to-end and balance deep technical execution with evolving leadership responsibilities.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collaborate extensively with business stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Own the end-to-end delivery of advanced analytics and machine learning solutions, from problem framing to production deployment and continuous improvement, working within Agile/SAFe ways of working.
 </li>
 <li>
 Develop and implement machine learning and statistical models to extract insights, predict trends, and provide actionable recommendations.
 </li>
 <li>
 Analyze large and complex datasets to identify opportunities to enhance existing solutions and develop new ones.
 </li>
 <li>
 Lead the development of proof-of-concept solutions and ensure their scalability across multiple markets.
 </li>
 <li>
 Work closely with cross-functional teams, including data engineers and business experts, to ensure robust, scalable, and production-ready solutions.
 </li>
 <li>
 Proactively identify opportunities to improve existing solutions and propose new data-driven initiatives that deliver measurable business value.
 </li>
 <li>
 Contribute to building and scaling a high-performing data science team, acting as a technical reference point, driving best practices, and supporting the development of other data scientists.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 5+ years of hands-on experience in data science or advanced analytics roles, with a strong track record of delivering production-grade solutions
 </li>
 <li>
 Strong proficiency in Python and PySpark, with the ability robust, well-structured, and efficient code that balances readability and performance
 </li>
 <li>
 Solid understanding of machine learning, statistical modeling, and experimentation, with the ability to apply the right approach to real-world business problems
 </li>
 <li>
 Experience working with large-scale datasets and distributed data processing, as well as cloud-based data platforms (preferably Azure &amp; Databricks)
 </li>
 <li>
 Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
 </li>
 <li>
 Demonstrated ability to build scalable solutions that go beyond one-off analyses or prototypes
 </li>
 <li>
 Strong problem-solving skills, with the ability to identify opportunities to enhance existing solutions and propose new data-driven strategies
 </li>
 <li>
 Ability to manage multiple projects simultaneously, prioritize effectively, and collaborate effectively with other team members and external vendors
 </li>
 <li>
 Ability to balance hands-on technical work with leadership responsibilities, with experience in leading and guiding other data scientists
 </li>
 <li>
 Excellent collaboration, communication and presentation skills, with the ability effectively interact and influence stakeholders, translating technical concepts into analytical approaches and business impact
 </li>
 <li>
 Experience in CPG, retail, or commercial analytics (e.g. route-to-market, assortment) is a strong advantage
 </li>
 <li>
 BSc or MSc, in Computer Science, Data Science, Statistics, Engineering or a related quantitative field
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Senior Data Scientist

BoxNCase

<div>
 
 
 About the Role
 
 We believe that the best decisions are backed by data. We are seeking a curious and analytical
 
 Data Scientist
 
 to champion our data-driven culture.
 
 
 
 In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and&mdash;most importantly&mdash;tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with
 
 SQL queries
 
 as you are with
 
 slide decks
 
 .
 
 
 
 
 ### What You Will Do
 
 
 
 <ul>
 <li>
 
 
 Exploratory Analysis:
 
 Dive deep into raw data to discover trends, patterns, and anomalies that others miss.
 
 
 </li>
 <li>
 
 
 Predictive Modeling:
 
 Build and test statistical models (Regression, Time-series, Clustering) to forecast business outcomes and customer behavior.
 
 
 </li>
 <li>
 
 
 Data Visualization:
 
 Create clear, impactful dashboards using
 
 Tableau
 
 ,
 
 PowerBI
 
 , or Python libraries (Matplotlib/Seaborn) to visualize success metrics.
 
 
 </li>
 <li>
 
 
 Experimentation:
 
 Design and analyze A/B tests to optimize product features and marketing campaigns.
 
 
 </li>
 <li>
 
 
 Data Cleaning:
 
 Work with Data Engineers to clean and structure messy data for analysis.
 
 
 </li>
 <li>
 
 
 Strategy:
 
 Present findings to stakeholders, translating complex math into clear, actionable business recommendations.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 
 
 Experience:
 
 2+ years of experience in Data Science or Advanced Analytics.
 
 
 </li>
 <li>
 
 
 The Toolkit:
 
 Expert proficiency in
 
 Python
 
 or
 
 R
 
 for statistical analysis.
 
 
 </li>
 <li>
 
 
 Data Querying:
 
 Advanced
 
 SQL
 
 skills are non-negotiable (Joins, Window Functions, CTEs).
 
 
 </li>
 <li>
 
 
 Math Mindset:
 
 Strong grasp of statistics (Hypothesis testing, distributions, probability).
 
 
 </li>
 <li>
 
 
 Visualization:
 
 Ability to communicate data visually using
 
 Tableau
 
 ,
 
 PowerBI
 
 , or
 
 Looker
 
 .
 
 
 </li>
 <li>
 
 
 Communication:
 
 Excellent verbal and written skills; you can explain a p-value to a non-technical manager.
 
 
 </li>
 </ul>
 
 
 ### Preferred Tech Stack (Keywords)
 
 
 
 <ul>
 <li>
 
 
 Languages:
 
 Python (Pandas, NumPy), R, SQL
 
 
 </li>
 <li>
 
 
 Viz Tools:
 
 Tableau, PowerBI, Looker, Plotly
 
 
 </li>
 <li>
 
 
 Machine Learning:
 
 Scikit-learn, XGBoost (applied to business problems)
 
 
 </li>
 <li>
 
 
 Big Data:
 
 Spark, Hadoop, Snowflake
 
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <li>
 
 
 Salary Range:
 
 $50,000 &ndash; $180,000 USD / year
 
 (Commensurate with location and experience)
 
 
 
 </li>
 <li>
 
 
 Remote Friendly:
 
 Work from where you are most productive.
 
 
 </li>
 <li>
 
 
 Learning Budget:
 
 Stipend for data courses (Coursera, DataCamp) and books.
 
 
 </li>
</div>

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Scaleup Connect

Data Insights &amp; Strategy Specialist Location: Lahore, Pakistan Department: Data &amp; Strategy / Business Intelligence Experience Required: 3&ndash;5 Years Education: Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative fieldRole SummaryScaleup Connect is hiring a Data Insights &amp; Strategy Specialist for one of its clients based in Lahore. This role will drive full-cycle data governance across the Sell-in to Sell-out (ST1-SO) ecosystem, transforming complex datasets into actionable business insights. The position combines advanced analytics, predictive modeling, and strategic thinking to support business growth, operational efficiency, and risk mitigation.The ideal candidate will act as a bridge between data and business strategy, enabling leadership, sales, and supply chain teams to make informed, data-driven decisions.Key ResponsibilitiesEnd-to-End Data Governance<ul><li>Own and manage the ST1-SO data lifecycle, ensuring data accuracy, integrity, and consistency across systems.</li><li>Develop and maintain standardized analytical frameworks for monitoring business performance.</li><li>Produce high-quality weekly and monthly operational reports that clearly explain underlying performance drivers.</li></ul>Deep Diagnosis &amp; Growth Opportunity Identification<ul><li>Conduct multi-dimensional data analysis across cities, product lines, and sales channels.</li><li>Identify business anomalies, operational inefficiencies, and hidden growth opportunities.</li><li>Provide strategic recommendations based on robust analytical insights.</li></ul>Algorithmic Modeling &amp; Risk Warning Systems<ul><li>Design and optimize sales forecasting models to improve demand planning accuracy.</li><li>Build intelligent replenishment logic and inventory alert mechanisms to enhance operational efficiency.</li><li>Apply predictive analytics to reduce operational risks and improve inventory turnover.</li></ul>Business Empowerment &amp; Decision Support<ul><li>Act as a translator between data and business teams, converting complex analytics into clear, actionable insights.</li><li>Partner with Sales, Operations, and Supply Chain teams to support strategic planning and execution.</li><li>Develop dashboards and insights that guide operational decision-making.</li></ul>Strategy Execution &amp; Alignment<ul><li>Translate company strategy into quantifiable KPIs and performance tracking frameworks.</li><li>Monitor progress against strategic targets and provide insights that ensure cross-functional alignment with organizational goals.</li></ul>QualificationsEducation &amp; Experience<ul><li>Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related field.</li><li>3&ndash;5 years of experience in data analysis, business intelligence, or strategic analytics roles.</li></ul>Technical Skills<ul><li>Advanced proficiency in SQL and Excel (VBA / Power Query).</li><li>Strong experience with BI visualization tools such as Tableau or Power BI.</li><li>Experience with Python or R for predictive modeling is highly preferred.</li></ul>Analytical &amp; Business Skills<ul><li>Strong logical and analytical thinking, with the ability to extract meaningful insights from complex datasets.</li><li>Ability to quickly identify core business challenges and opportunities within fragmented data environments.</li><li>Strong understanding of business performance metrics and operational drivers.</li></ul>Professional Attributes<ul><li>High level of professional accountability and data accuracy standards.</li><li>Ability to thrive in fast-paced, high-pressure environments.</li><li>Excellent cross-functional collaboration and influence skills.</li></ul>Preferred Qualifications (Bonus)<ul><li>Experience building data analysis systems or analytics frameworks from scratch (0&rarr;1).</li><li>Prior exposure to retail operations, channel management, or distribution analytics.</li></ul>Job Type: Full-timePay: Up to Rs130,000.00 per monthWork Location: In person

Data Insights & Strategy Specialist

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Data Insights & Strategy Specialist