senior data scientist

Cognite - AI for Industry

<p></p><div><div><h1 class="jobSectionHeader"><b>What Cognite is:</b><b> </b><b>Relentless</b><b> </b><b>to achieve</b></h1>
<p></p>
<p>Cognite operates at the forefront of <b>industrial digitalization, building AI</b>, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.</p>
<p>
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.</p>
<p>
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</p></div><p></p><h1 class="jobSectionHeader"><b><br>
How you'll demonstrate </b><b>Ownership</b></h1>
<p>
The <b>Data Science team</b> at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a <b>Senior</b> <b>Data Scientist</b> at Cognite, you will work on challenging data-problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as <b>Oil and Gas, Power &amp; Utilities, and Manufacturing. </b>Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles.</p>
<ul>
<li>Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power &amp; Utilities industries using Cognite's core capabilities</li>
<li>Participate in intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data</li>
<li>Perform data cleansing and exploratory data analysis</li>
<li>Implement physical models / machine learning models in Python and deploy to our model hosting environment</li>
<li>Apply GenAI techniques to enhance data-driven decision-making in customer use cases</li>
<li>Build dashboards in Grafana, Power BI, Plotly or Dash for visualizing the solutions</li>
<li>Utilize and contribute to solution templates and best practices within the Data Science team</li>
<li>Mentoring and coaching junior team members is an important part of being a Senior at Cognite</li>
<li>Collaborate with data engineers, project managers and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform</li>
<li>Support customers and partners in conducting data science tasks with Cognite products.</li></ul><br>
<p></p>
<h1 class="jobSectionHeader"><b>
The </b><b>Impact</b><b> you bring to Cognite</b></h1>
<ul><li>Master of Science in a quantitative field or mechanical - , systems - electrical - or industrial engineering</li>
<li><b>5+ years of full-time work experience as a data scientist (prefarbly within related industry)</b>, or data scientist with domain expertise in Energy &amp; Oil and Gas or Maintenance or Manufacturing</li>
<li>Proficient experience with Python and SQL. Experience with Python in a production setting is a plus</li>
<li>Experience with machine learning methods and techniques, statistics and/or optimisation</li>
<li>Experience with Git</li>
<li>Experience working customer faced, with external customers</li>
<li>Experience with managed cloud services such as GCP, Azure or AWS is a plus</li>
<li>Domain knowledge or a good understanding of the Oil and Gas industry Asset Performance Management - covering i.e production optimization is a big plus. (As key CDF advisors, we want out Data Scientist to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to i.e production optimization)</li>
<li>Enjoy working in cross-functional teams</li>
<li>Able to deliver independently, coach and mentor others internally</li>
<li>Enjoy challenges and dare to set ambitious goals that drive innovation</li>
<li>Humility to ask for help and enjoy sharing knowledge with others</li></ul><div></div><div><br>
<div></div>
<div><b>Learn more about us</b></div><br>
<div></div>
<div></div>
<div></div><div><ul><li>Impact 2025</li>
<li>Cognite's Industrial AI: Moonshot</li>
<li>We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.</li></ul><br>
</div>
<div></div><div><b><i>Equal Opportunity</i></b></div>
<div><i>Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.</i></div></div></div>

Senior Data Scientist

Prescient Edge

<div>Job Description:<p><br>
Prescient Edge is seeking a <b>Senior Data Scientist</b> to support a federal government client.</p>
<p><b>Please note that the availability of this position is contingent upon.</b></p>
<p><b>Benefits:</b></p>
<p>At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:</p>
<ul><li>A competitive salary with performance bonus opportunities.</li>
<li>Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.</li>
<li>A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.</li>
<li>A positive work environment where employees are respected, supported, and engaged.</li>
</ul>
<p><b>Description:</b></p>
<ul><li>Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.</li>
<li>Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.</li>
<li>Submit the Data Provenance &amp; Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.</li></ul><br>
<br>
<br>
<b>Job Requirements:</b><p><b><br>
Experience:</b></p>
<ul><li>Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
</li><li>Personnel must be proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
</li><li>Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
</li><li>Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.</li>
<li>Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
</li><li>Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
</li><li>Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.</li>
</ul>
<p><b>Education:</b></p>
<ul><li>A Master&rsquo;s degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) years of equivalent experience in AI/ML model development and deployment.</li>
<li>Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.</li>
</ul>
<p><b>Security clearance:
</b></p><ul><li>Active TS/SCI clearance.
</li></ul><p><b>Location:</b></p>
<ul><li>Doral, Florida. (USSOUTHCOM Headquarters)</li></ul></div><p></p>

RJW Logistics

<div><p><b>RJW Logistics Group is HIRING!</b><br>
<b>OUR PEOPLE ARE OUR FUTURE. THAT'S WHY THEY COME FIRST.</b></p>
<p>
RJW is dedicated to hiring and developing talent who want to make an impact and be a part of an industry-leading organization. At RJW, we are committed to our employees' success and to producing continuous innovation that drives the retail logistics industry forward.</p>
<p><b>
Empower Your Future with Our Employee Ownership Program</b></p>
<p>
We are thrilled to announce the launch of our Employee Ownership Program&mdash;an exciting opportunity designed to empower, motivate, and reward our dedicated team members. At RJW, we believe that our employees are the heartbeat of our success, and we want to share that success with you. Here's what you can look forward to:</p>
<ul>
<li><b>Ownership Stake</b>: Become a co-owner of the company and take pride in knowing that your hard work directly contributes to your own financial growth and the company's prosperity.</li>
<li><b>Financial Rewards</b>: Enjoy the potential for increased earnings through share appreciation.</li>
<li><b>Sense of Belonging</b>: Feel a deeper connection and commitment to your work as you become an integral part of the company's journey and success story.</li>
<li><b>Community and Collaboration</b>: Join a community of like-minded individuals who are equally invested in the company's mission and vision, fostering a collaborative and supportive work environment.</li>
<li><b>Cost</b>: Maybe the best detail about this program is that it cost nothing to you. As long as you are employed with RJW, you will enjoy the benefits of the program. Additionally, shares will be given to you on a yearly basis based on salary.</li>
</ul>
<p>Our Employee Ownership Program is more than just a benefit&mdash;it's a path to building a brighter, more prosperous future together. Join us in taking this exciting step forward and become a valued co-owner of RJW. Together, we can achieve greatness.</p>
<p>
</p><p></p><p>The <b>Senior Data Scientist</b> is a strategic hire within the Operations organization, responsible for solving RJW's most complex operational questions through modeling, optimization, and applied data science. This role goes beyond reporting and dashboards &mdash; it exists to answer questions that cannot be resolved by querying alone: how labor should be structured, how product should be slotted, how routes should be sequenced, and how volume should be allocated across the network. Reporting to the EVP of Warehouse Transformation, this individual will set the standard for how RJW understands and uses its data, leads the analytical roadmap for the Operations function, and serve as the technical demand signal that shapes the data foundation RJW builds. As the senior-most data science practitioner embedded in Operations, this role will define what good looks like for a maturing analytics practice and ensure that insights translate directly into measurable operational outcomes.</p>
<p><b>
Essential Duties and Responsibilities:</b></p>
<ul>
<li>Frame, scope, and lead analytical investigations into RJW's highest-value operational questions, translating ambiguous business problems into structured, modelable work.</li>
<li>Design, develop, and deploy statistical models, optimization algorithms, and decision-support tools that drive measurable improvements in labor utilization, throughput, network cost, and service performance.</li>
<li>Own the analytical roadmap for the Operations function, prioritizing problems based on business impact, feasibility, and data readiness in partnership with the EVP of Warehouse Transformation and operational leaders.</li>
<li>Lead modeling efforts across a portfolio of strategic problem areas &mdash; examples include shift and labor structure optimization, network-level volume allocation and &quot;right fit&quot; modeling, warehouse slotting strategy, and improvement of internal route and task optimization algorithms.</li>
<li>Define the data, infrastructure, and tooling requirements needed to support advanced analytics at RJW, partnering closely with the Data Engineering team to make critical data available, accessible, and where appropriate, calculated in real time.</li>
<li>Serve as a technical thought partner to the Data Engineering team, providing direction on data models, latency requirements, and analytical surface area without owning platform governance.</li>
<li>Collaborate with the Operations Data Analytics team to ensure tactical analyst work and strategic data science work reinforce one another rather than duplicate effort.</li>
<li>Translate model outputs into clear, actionable recommendations for operational leaders, executives, and cross-functional stakeholders &mdash; including the CWO and broader executive team where appropriate.</li>
<li>Establish standards for analytical rigor, model validation, documentation, and reproducibility within the Operations analytics function.</li>
<li>Evaluate and recommend tools, platforms, and methodologies that advance RJW's analytical capability over time.</li>
<li>Mentor and influence analysts, engineers, and operational stakeholders on the appropriate use of data, models, and statistical reasoning.</li>
<li>Bring in specialized expertise (consultants, vendor SMEs, internal partners) when problems require depth outside the scope of any single practitioner.</li>
<li>Stay current with developments in applied data science, operations research, and warehouse and supply chain analytics, recommending adoption where it advances RJW's operational performance.</li>
</ul>
<p></p><p><b>Knowledge, Skills, and Abilities:</b></p>
<ul>
<li>Strong applied data science background with demonstrated experience framing and solving operational, supply chain, or logistics problems through modeling and optimization.</li>
<li>Proficiency in Python (pandas, scikit-learn, modern ML and optimization libraries) and SQL; comfort with notebook and production environments.</li>
<li>Working knowledge of optimization techniques (linear and integer programming, heuristics, simulation) and statistical modeling methods (regression, time series, classification, clustering).</li>
<li>Ability to scope problems independently &mdash; deciding what is worth modeling, what is a data problem, and what is a process problem &mdash; and to recognize the limits of one's own expertise.</li>
<li>Demonstrated ability to communicate complex analytical concepts to operational leaders and executives in plain language, with a focus on decisions and outcomes rather than methods.</li>
<li>Self-starter comfortable operating with significant autonomy in a maturing analytics environment; energized by ambiguity and the opportunity to set direction.</li>
<li>Experience defining data requirements and partnering with engineering teams to bring those requirements to life, without taking on platform ownership.</li>
<li>Strong product and outcome orientation &mdash; the ability to drive a model or tool from concept to operational adoption, not just to a notebook deliverable.</li>
<li>Ability to integrate insights from vendors, consultants, and internal subject matter experts into a coherent analytical approach.</li>
<li>Demonstrated judgment in selecting techniques appropriate to the problem and data available, balancing rigor with speed-to-insight.</li>
<li>Collaborative working style; effective across Operations, IT, Continuous Improvement, and executive stakeholders.</li>
<li>High integrity in handling data, models, and recommendations that influence operational and financial decisions.</li>
</ul>
<p><b>Education and Experience:</b></p>
<ul>
<li>Bachelor's degree in a quantitative field (Data Science, Statistics, Mathematics, Operations Research, Computer Science, Economics, Industrial Engineering, or related) required; advanced degree preferred.</li>
<li>7+ years of professional experience in applied data science, machine learning, or operations research, with demonstrated impact on operational or business outcomes.</li>
<li>Experience leading or substantially contributing to data science work in supply chain, logistics, warehousing, transportation, or comparable operational domains strongly preferred.</li>
<li>Experience working with optimization problems (routing, allocation, slotting, scheduling, or similar) preferred.</li>
<li>Track record of working directly with executive and operational leaders to influence decisions through data.</li>
<li>Experience helping mature an analytics or data science function &mdash; including shaping data strategy, partnering with data engineering, and establishing standards &mdash; preferred.</li>
</ul>
<p><b>Work Environment:
</b></p><ul><li>While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts, and fumes or airborne particles. The noise level in the work environment will range from quiet to moderately loud.</li>
</ul>
<p><b>Employer Rights:</b></p>
<p>
</p><p>This job description is intended to provide general information about the <b>Senior Data Scientist</b> position. The above does not constitute an exhaustive list of the job duties to be performed by an associate holding the position of <b>Senior Data Scientist</b>, nor are the lists of the physical requirements and environmental conditions exhaustive. You may be asked by your supervisor or managers to perform other duties. Your performance will be evaluated in part based upon your performance of the job duties listed in this job description, as well as any job duties not specifically listed above that you may be asked from time to time to perform.</p>
<p>
As with all positions, the duties and responsibilities are subject to change at any time as needs arise and at the discretion of RJW Transport, Inc. The Company has the right to revise this job description at any time.</p>
<p><b>
Employment-At-Will:</b></p>
<p>
It is the Company's policy that all associates, other than those covered by a written individual employment or labor agreement with the Company that has been authorized in writing by the Company's Chief Executive Officer or Board of Directors, are not employed for any fixed term and are employed at the will of the Company for an indefinite period. Just as our associates reserve the right to resign their employment at any time for any reason the Company reserves its right to terminate an associate at any time for any reason either with or without cause.
</p><p>Neither this Job Description nor any of its individual terms constitute commitments between the Company and its associates as to the terms, conditions, or duration of employment, nor does it modify the prevailing Employment-At-Will relationship.</p>
<p>
</p><p></p><p><i>This is not the JD in its entirety.</i></p>
<p>
</p><p><b>Benefits:</b></p>
<ul>
<li>MyShare Program (explained above)</li>
<li>401(k) matching</li>
<li>Medical/Dental/Vision insurance</li>
<li>Employee discount</li>
<li>Flexible spending account</li>
<li>Health savings account</li>
<li>Paid time off</li>
<li>Sick Days</li>
<li>Long-term Disability Insurance</li>
<li>Short-term Disability Insurance</li>
<li>Accidental Insurance</li>
<li>Critical Illness Insurance</li>
<li>Disability Insurance</li>
</ul>
<br>
Req Benefits: We offer a competitive benefits package that includes health, dental, and vision insurance, life and disability, paid holidays, time off, retirement savings plan participation, and additional employee programs. Pay Transparency In order to support the Fair Compensation Strategy by the US Govt., HR Dept., clients are required to adhere to &quot;Pay Transparency Law&quot;; in the impacted states; that have mandated the employers to list the salary ranges in Job advertisements or postings for job opportunities and Job promotions.</div>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><b>Must Have Technical/Functional Skills</b>
</div><div><ul><li>2+ years of proven experience building deep learning models for large-scale recommender systems.</li>
<li>Proficiency in ML frameworks such as TensorFlow or PyTorch.</li>
<li>Proficiency in SQL, Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.</li>
<li>Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.</li>
<li>Experience working with LLMs or Generative systems in applied settings.</li>
<li>Experience working with cloud platforms like Azure or GCP.</li>
<li>Experience working with Data Engineering and MLOps is desirable.</li>
<li>High level of independence to develop and own toolkits, pipelines, and dashboards.</li>
</ul></div><div><b>Roles &amp; Responsibilities</b>
</div><div><ul><li>Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with engineering to deploy and iterate on models in production.</li>
<li>AI &amp; LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.</li>
<li>Experimentation &amp; Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.</li>
<li>Data &amp; Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.</li>
<li>Cross-functional Collaboration. Work closely with product owners, engineers, and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous, fast-moving environment.</li>
</ul></div><div><b>TCS Employee Benefits Summary:</b>
</div><div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div><div><b>#LI-KR3</b>
</div><div><b>Salary Range-$135,000-$175,000 a year</b>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Cincinnati, OH</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Data Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>415771</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Machine Learning | Artificial intelligence | Data scientist</div>
</div><div><div><b>Salary Range</b></div>
<div>$135,000-$175,000 a year</div></div></div></div><div></div>

Senior Data scientist

Coca-Cola HBC

<div>
 <p>
  <strong>
   Department: Data Science &amp; AI
  </strong>
 </p>
 <p>
  <strong>
   Role reports to: Data Science &amp; AI Manager
  </strong>
 </p>
 <p>
  <strong>
   Contract Type: Permanent
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative.
 </p>
 <p>
  You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   IN THIS EXCITING ROLE YOU WILL:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments.
 </p>
 <p>
  &bull; Act as a technical lead, guiding other data scientists while remaining hands-on in solution design and delivery
 </p>
 <p>
  &bull; Own the end-to-end lifecycle of data science solutions, from problem definition to deployment and continuous improvement
 </p>
 <p>
  &bull; Collaborate with cross-functional teams to translate analytical outputs into measurable business impact, influencing commercial decisions
 </p>
 <p>
  &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 </p>
 <p>
  &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 </p>
 <p>
  &bull; Have opportunities for professional training and certifications as well as mentorship.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; BSc or MSc in Data Science, Engineering or a related field.
 </p>
 <p>
  &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization).
 </p>
 <p>
  &bull; Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
 </p>
 <p>
  &bull; Experience building scalable solutions that go beyond one-off analyses
 </p>
 <p>
  &bull; People management experience of at least one year.
 </p>
 <p>
  &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 </p>
 <p>
  &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 </p>
 <p>
  &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 </p>
 <p>
  &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 </p>
 <p>
  &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 </p>
 <p>
  &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
</div>


<div>
 <p>
  <strong>
   Department:
  </strong>
  Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Senior Data Scientist
  </strong>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  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.
 </p>
 <p>
  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.
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  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.
 </p>
</div>


Sundays For Dogs

<div><p><b>About Sundays for Dogs</b></p><p>
Sundays for Dogs is a founder-led, direct-to-consumer brand reimagining pet food so dog owners can spend more quality time with their dogs &mdash; now and later. We make human-grade, air-dried food that supports long, healthy lives, and we build our company around shared core values that guide how we work and how we treat each other.</p><p><br>
We&rsquo;re headquartered in Cleveland, Ohio, with a primarily remote team of ~50 full-time employees across the U.S. While we work distributed day to day, we come together in person on a quarterly basis because relationships matter. Our business today is 100% DTC, with our subscription model at the core of how we serve customers &mdash; and we&rsquo;re building to scale with intention. We&rsquo;re just getting started...</p><p></p><p><br>
We&rsquo;re hiring a Senior Data Scientist to help define how Sundays uses data to scale the business. This is a high-impact role on a small, scrappy, and fast-moving team that is in the early stages of building best-in-class data infrastructure and modeling capabilities from the ground up.</p><p></p><p><br>
Reporting to our newly appointed VP of Data, this role blends data science, analytics, and platform-building. You&rsquo;ll partner closely with our newly established Analytics Engineering function to help shape our analytics foundation &mdash; from scalable data models and modern BI tooling to the first generation of production-grade data science models. While there is tremendous opportunity to apply advanced data science techniques, this role will also spend meaningful time on core analytics, especially early on. As a new team, we&rsquo;re simultaneously building the foundation and delivering insights, so you&rsquo;ll need to be comfortable flexing between deep modeling work and hands-on analytical problem-solving. You&rsquo;ll have significant ownership in shaping how data is used at Sundays &mdash; identifying the highest-impact opportunities for data science, building models and analytical frameworks, and helping the company act on what we learn.</p><p></p><p><br>
This role is fully remote within the U.S., with travel to our Cleveland headquarters for onboarding and quarterly in-person collaboration.</p><p></p><p><b><br>
Your day-to-day</b></p><ul><li>
Partner with stakeholders across Marketing, Product, Finance, and Operations to frame business problems and identify where data science and analytics can drive the most impact.</li><li>
Develop and deploy data science models (e.g., LTV prediction, churn/retention modeling, propensity scoring, forecasting) to inform growth and operational decisions.</li><li>
Perform high-impact exploratory and ad-hoc analyses to answer critical business questions and move quickly on strategic decisions.</li><li>
Work closely with Analytics Engineering to translate business needs into scalable datasets, feature sets, and production-ready models.</li><li>
Help define and standardize key business metrics, ensuring alignment between analytical outputs and modeled insights.</li><li>
Contribute to the rollout and adoption of our dbt project and BI tooling, ensuring models and analyses are built on reliable, well-structured data.</li><li>
Build and maintain dashboards and reporting frameworks that complement and operationalize data science insights.</li><li>
Design, analyze, and interpret experiments (A/B tests) to evaluate product, marketing, and lifecycle initiatives.</li><li>
Investigate performance changes, diagnose root causes, and communicate clear, actionable recommendations to stakeholders.</li><li>
Help establish best practices for data science and analytics as we scale the function.</li><li>
Work with data and engineering partners to ensure analytical work is built on scalable, reliable data models.</li></ul><p><b>
We'd love to hear from you if you have</b></p><ul><li>
6+ years of experience in data science, analytics, or related quantitative roles.</li><li>
Strong SQL and experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Databricks) and tools like dbt</li><li>
Proficiency in Python (or similar) for data analysis, statistical modeling, and machine learning</li><li>
Experience building and applying models (e.g., LTV, churn/retention, forecasting, MTA/MMM, propensity) in a business context</li><li>
Deep understanding of DTC/ecommerce metrics (CAC, LTV, cohort analysis, retention) and experimentation (A/B testing)</li><li>
Proven ability to drive business impact through data, partnering cross-functionally and balancing analytics, modeling, and strategic decision-making in a fast-paced environment</li><li>
A passion for dogs!</li></ul><p><b>
Nice-to-Haves</b></p><ul><li>
Experience productionizing data science models and working with engineering to deploy them.</li><li>
Familiarity with feature engineering, model monitoring, and lifecycle management.</li><li>
Experience helping stand up data science or analytics practices in early-stage or high-growth environments.</li><li>
Experience scaling BI tools (Omni, Looker, Sigma, etc.) alongside data science workflows.</li></ul><p><b>
Why Join Us?</b></p><ul><li>
Unlimited PTO &ndash; we trust you to take the time you need.</li><li>
Equity program &ndash; a chance to own part of the company!</li><li>
401k plan with employer match &ndash; invest in your future.</li><li>
Annual work-from-home stipend &ndash; set up your workspace for success.</li><li>
Competitive Medical, Dental, Vision plans &ndash; company covers 80%.</li><li>
Sundays subscription for your pup! &ndash; because we care about your furry friends.</li><li>
Parental leave &amp; PAWrental leave &ndash; support for growing families, both human and pet.</li><li>
Discounted pet insurance &ndash; keep your pets happy and healthy.</li></ul><p></p><p><b><br>
**RECRUITING SCAM ALERT**</b></p><p><br>
We&rsquo;ve been made aware of scammers impersonating Sundays for Dogs and inviting candidates to interview via Microsoft Teams.</p><p><br>
To protect yourself, please note:</p><ul><li>
We do not conduct interviews over Microsoft Teams.</li><li>
All interview scheduling communications will come from one of the following domains: @ats.rippling.com (our official applicant tracking system) or @sundaysfordogs.com.</li></ul><p>
If you receive outreach from any other email domain or are asked to communicate outside of these channels, it is not from our team.<br>
<br>
We strongly suggest you do not share any personal or confidential information if you are unsure about the legitimacy of the communication.<br>
<br>
If you have questions about whether a message is legitimate, contact us directly at people@sundaysfordogs.com.</p></div>

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