WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. (This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position.) BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems. EXPERIENCE: A minimum of 4 years experience in a hands-on, in-the-weeds data science position. YOUR ROLE You will be developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects. SUCCESS LOOKS LIKE <ul><li>Innovate, create, and design ML solutions to various business problems such as:</li><ul><li>Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests.</li><li>Utilizing Large Language Models in content personalization across various verticals.</li><li>Recommendation systems to serve ads, offers, questions, etc.</li></ul><li>Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring.</li><li>Provide data science support at different project stages, including the implementation of ML solutions by collaborating with Data Engineers and MLOps.</li><li>Being hands-on and in-the-weeds in the data, coding part of the solution implementation.</li></ul> WHAT YOU NEED TO SUCCEED <ul><li>4+ years of related work experience in the field of Data Science & Machine learning.</li><li>2+ years of experience in the Marketing/Advertising Industry.</li><li>Solid background in Machine Learning and Statistics.</li><li>Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems.</li><li>Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.).</li><li>Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals.</li><li>Experience creating ML solutions within cloud services (AWS/GCP).</li><li>Experience with ML model development lifecycle.</li><li>Experience with data visualization (preferably Looker).</li><li>Experience managing a team of data scientists and machine learning researchers (including career development).</li><li>Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders.</li></ul> NICE TO HAVES <ul><li>Experience with LLMs and Deep learning models to develop business and data science solutions.</li></ul> Total Rewards & Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to make your impact in a profitable, high-growth company? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 countries. Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. What does that mean for you? You'll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You'll help change how goods get to market and contribute to global sustainability. You'll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model. Job Description Position Purpose: The Insights and Strategy team for CHEP Americas is responsible for developing, communicating, and leading the execution of macroeconomic and market analysis used across the business to inform strategic decision making and operational performance. CHEP Americas is currently looking to fill the role of Insights Data Science Manager. The Insights Data Science Manager's primary focus is to support the development of statistical models connecting macroeconomic and market activities to company performance. They will also create and manage the process for communicating these insights to key stakeholders. Major/Key Accountabilities: <ul><li>Develop and implement advanced statistical models to forecast market trends, consumer behavior, and business outcomes. Use predictive analytics to inform strategic decisions and identify growth opportunities within ideal customer profiles.</li><li>Analyze diverse data sets to uncover patterns, correlations, and insights. Leverage modeling outcomes to provide actionable recommendations for strategic positioning and operational improvements.</li><li>Use modeling techniques to analyze competitors' strategies and predict future market movements. Provide insights on potential competitive advantages and threats.</li><li>Craft detailed reports and presentations that distill complex models and analyses into understandable and actionable insights.</li><li>Engage with teams across the organization to provide analytical and modeling support. Ensure that strategic projects are grounded in solid data analysis and predictive insights.</li></ul> Scope: <ul><li>Number of regions: 3 (U.S., Canada and LATAM)</li><li>Number of locations: Alpharetta, GA USA</li></ul> Challenges/Problem Solving: Problem solving relates to the requirement in the role to analyze, reason and arrive at conclusions to solve problems, identify business opportunities and record learnings. This can be range between routine and patterned (day-to-day within procedures) or more complex in nature requiring analytical and innovative solutions. Authority/Decision Making: <ul><li>Working autonomously with limited day-to-day interaction with line manager</li><li>Working in a matrixed environment</li><li>Recommends budgetary spend</li></ul> Key Contacts: <ul><li>Internal - Marketing, Strategy, Senior Leadership, Commercial, Retails and Operations.</li><li>External - N/A</li></ul> Qualifications: <ul><li>Programming skills: R, Python (Pandas, NumPy, SciPy)</li><li>Experience with Nielsen Discover platform and consumer packaged goods industry</li></ul> Experience: <ul><li>Experience in a role focused on quantitative analysis, statistical modelling, or data science, preferably with exposure to strategic analysis or market research.</li><li>Demonstrated experience in developing and implementing predictive models and conducting complex data analyses in a business context.</li><li>A portfolio of projects that showcases the ability to turn data and modelling into strategic insights and recommendations.</li><li>Ability to analyze and apply learnings to business context and effectively communicate insights to business</li></ul> Skills and Knowledge: Statistical modeling, programming, and cross-functional communication skills. Languages: Essential - English Desirable - Spanish Preferred Education Bachelors - Computer and Information Science, Bachelors - Economics, Bachelors - Finance, Bachelors - Statistics Preferred Level of Work Experience 3 - 5 years Remote Type Hybrid Remote We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at recruitment@brambles.com.

Come help us build the world's best omni-channel software! Deposco is seeking a Senior Data Scientist to join our Data Science team, focused on R&D innovation. You will use your analytical expertise to create innovative solutions to supply chain and commerce execution, planning, and strategy problems. Working alongside our team of product managers and software developers, you will help design and deploy these solutions to the Deposco platform - affecting real value in our customers' businesses. The right candidate will have a strong background in data science methods, an enthusiasm for problem-solving, self-motivation, and effective communication skills. What You'll Do: <ul><li>Formulate and prototype mathematical models and analyses that serve as the foundation for future products and modules.</li><li>Collaborate with software engineers to integrate these models, engineer solutions to computational challenges, and ensure a successful deployment to the Deposco platform.</li><li>Work with product owners to design product features enabled by data science methods.</li><li>Support Business Development by analyzing how our solutions drive supply chain-enabled growth.</li></ul> What You'll Need: <ul><li>M.S. (Ph.D. preferred) in Operations Research, Machine Learning, Computer Science, Mathematics, or related mathematical science, or equivalent experience.</li><li>Strong development skills in Python (additional experience in Java is a plus).Fluent with SQL and relational database concepts.</li><li>Strong understanding of mathematical optimization methods (e.g. mixed-integer linear programming, convex optimization, dynamic programming, network flows).Strong understanding of stochastic processes and (Monte Carlo, discrete-event) simulation methods.</li><li>Strong understanding of statistical learning (regression modeling) and AI methods (structural causal models, generative LLMs).Understanding of macroeconomics and supply chain concepts is a plus.</li><li>Experience with data visualization tools, such as Domo or Tableau, is a plus.</li><li>Excellent written and verbal communication.A sense of curiosity, self-motivation, and a love of learning.</li></ul> Perks <ul><li>Be part of an energetic team that is serious about delivering software to customers and cultivating our culture. We work awfully hard and are having a blast doing it. This team believes that what we are doing is a game-changer in the industry</li><li>Coffee bar with cold brew on tap and a full time barista</li><li>Standing desk (if you're into that sort of thing)</li><li>Corporate events including food trucks, Top Golf and other shenanigans</li><li>Corporate office with co-working spaces, ping-pong tables, corn-hole boards, and Avalon around the corner</li><li>Benefits package including health care, paid time off, life insurance, 401k plan (with match), and gym reimbursement</li><li>Be part of a team recognized 3 years running as an AJC Top Workplace</li></ul>

Data Scientist Jobs in Alpharetta, GA

Senior Data Scientist
September 11, 2024

Insights Data Scientist
September 11, 2024

Senior Data Scientist
September 11, 2024

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Data Scientist Jobs in Alpharetta, GA

Senior Data ScientistSeptember 11, 2024

Insights Data ScientistSeptember 11, 2024

Senior Data ScientistSeptember 11, 2024

Quick filters

Top companies

Senior Data Scientist
September 11, 2024

Insights Data Scientist
September 11, 2024

Senior Data Scientist
September 11, 2024