science manager

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field. Job Summary As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption. Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a PLUS.</li> </ul>

Data Science Manager

Lyka

About Lyka Lyka was founded in 2018 by Anna Podolsky, inspired by her dog, Lyka, who was suffering from chronic health issues despite being on "premium" kibble. Together with Gabriel Guedes (COO) and Dr. Matthew Muir (Integrative Veterinarian), they built Lyka from the ground up with one core belief: better food can radically improve a pet's healthspan and quality of life. Lyka's meals are vet-formulated and gently cooked from real food ingredients. Delivered via a flexible subscription model, Lyka meals have driven remarkable improvements for tens of thousands of customers, supporting gut health, reducing intolerances, improving energy and mobility, and even promoting hair growth. What began as home cooked meals has since scaled into one of Australia's fastest-growing consumer companies, a vertically integrated, tech enabled brand that is transforming pet health nationwide. Lyka now operates from two offices, Sydney (HQ) and Melbourne, with three state of the art food production facilities (two in Sydney, one in Melbourne) and a growing national footprint. At Lyka, we're not just selling pet food-we're pioneering a new standard of wellness for pets. With strong product market fit, deep customer love, and a track record of rapid growth, we're now entering our most ambitious chapter yet: building a generational brand and category defining business with global impact. What you will do As our Food Science Senior Manager, you'll play a key role in shaping the future of our recipes, combining scientific rigour with innovation to create food that truly makes a difference. You'll lead new product development and continuous improvement initiatives from concept to commercialisation, bringing together your technical expertise, creativity, and leadership to elevate the quality, safety, and performance of our products. You'll lead the charge in developing and optimising both new and existing formulations, from hands on bench trials through to full scale manufacturing. You'll take a portfolio wide view of continuous improvement, spotting opportunities that lift palatability, nutritional value, and operational efficiency. A big part of your role will be bringing new product lines to life in new markets, balancing customer needs, nutrition, cost, and operational feasibility. You'll manage the full lifecycle of product development, keeping communication clear and stakeholders aligned across Marketing, Procurement, QA, and Manufacturing. You'll support the Food Technology team in evaluating new ingredients, technologies, and processes that enhance product quality, nutrition, and safety, all while staying true to the Lyka brand ethos. Working closely with Manufacturing and CAPEX teams, you'll help define new equipment specs, process standards, and SOPs that deliver consistent results. You'll deploy Food Technologist resources effectively across projects, ensuring priorities align with company goals. And as a leader, you'll coach and mentor junior scientists, building a culture of collaboration, high performance, and continuous learning. What we're looking for You'll bring a strong foundation in Food Science or Food Technology, backed by a degree in a related field and over six years of hands on product development experience. You've successfully led technical projects or teams and have a proven track record of taking evergreen products from concept to commercialisation, ideally within pet food, human food, or the meat industry. Your deep understanding of food processing, ingredient functionality, and nutritional formulation means you can solve complex challenges and make confident, data informed decisions. You're a natural leader who thrives on mentoring others and building high performing teams. You're also a strong communicator, able to translate between science, operations, and business to keep everyone aligned. Independent and proactive by nature, you're driven to find solutions, not roadblocks, and you're passionate about innovation, continuous improvement, and delivering products that truly make a difference. <ul> <li>Work in a fast growing start up, experiencing what goes behind the scenes to sustain hyper growth for a start up with a physical product!</li> <li>Growth and Development - Lyka is growing extremely quickly, which means you will have the opportunity to experience different challenges every day and progressively acquire more responsibilities as our facility and team expand. We provide an annual L&D budget for you to continue your personal development.</li> <li>Work for a sustainability focused company - we care about the health of our dogs and our planet. We're proud to be Australia's only carbon negative and plastic negative pet wellness company and we're always looking at ways for us to improve sustainability practices.</li> <li>Be part of a diverse top talent team, coming from widely different backgrounds and geographies.</li> <li>Up to 18 weeks of paid parental leave top up</li> <li>Wellbeing assistance and tools to take care of your mental and physical wellbeing so you can do your best work.</li> <li>Flexible working: work from where you get your best work done. We have pet friendly offices and industrial kitchens in Sydney and Melbourne.</li> <li>Pupper parent support to care for your furry friends - flexible arrangements for new pets, pet friendly offices, discounts, and financial allowance for dog training and care to help them live their best life!</li> </ul> We are committed to building inclusive and diverse teams Lyka is an equal opportunity employer devoted to providing a working environment that embraces and values diversity and inclusion. We celebrate diversity, are devoted to creating an inclusive environment for all staff and encourage people of all backgrounds to apply. If you have any support or access requirements, we encourage you to advise us at the time of application.

Food Science Manager

Lyka Pet Food

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. 
 
How do you get items to customers quickly, cost-effectively, and&mdash;most importantly&mdash;safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what&rsquo;s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). 
 
If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. 
 
Come work on the Amazon Prime Air Team! 
 
Prime Air is seeking an experienced Applied Science Manager to help develop our advanced Navigation algorithms and flight software applications. In this role, you will lead a team of scientists and engineers to conduct analyses, support cross-functional decision-making, define system architectures and requirements, contribute to the development of flight algorithms, and actively identify innovative technological opportunities that will drive significant enhancements to meet our customers' evolving demands.
 
 
This person must be comfortable working with a team of top-notch software developers and collaborating with our science teams. We&rsquo;re looking for someone who innovates, and loves solving hard problems. You will work hard, have fun, and make history! 
 
Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon&rsquo;s ability to apply for and obtain an export control license on your behalf.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience directly managing scientists or machine learning engineers</li><li>Experience with the Scrum methodology (or similar alternatives) for agile software development</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs</li><li>Experience hiring and growing top talent</li><li>Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Proficiency in the simulation and analysis of GNSS raw measurements, including pseudorange and carrier phase.</li><li>Experience building complex software systems, especially involving safety-critical algorithms, that have been successfully delivered to customers.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Navigation Science Manager, Prime Air

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
 
 
At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.
 
 
We are pioneering the development of robotics foundation models that:
 
<ul><li>Enable unprecedented generalization across diverse tasks
</li><li>Enable unprecedented robustness and reliability, industry-ready
</li><li>Integrate multi-modal learning capabilities (visual, tactile, linguistic)
</li><li>Accelerate skill acquisition through demonstration learning
</li><li>Enhance robotic perception and environmental understanding
</li><li>Streamline development processes through reusable capabilities
</li></ul> 
The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.
 
 
Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.
 
 
Key job responsibilities 
As an Applied Science Manager in the Foundations Model team, you will:
 
<ul><li>Build and lead a team of scientists and developers responsible for foundation model development
</li><li>Define the right &lsquo;FM recipe&rsquo; to reach industry ready solutions
</li><li>Define the right strategy to ensure fast and efficient development, combining state of the art methods, research and engineering.
</li><li>Lead Model Development and Training: Designing and implementing the model architectures, training and fine tuning the foundation models using various datasets, and optimize the model performance through iterative experiments
</li><li>Lead Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines.
</li><li>Lead Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance.
</li><li>Lead Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs
</li><li>Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.
</li><li>Collaboration: Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies.
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Experience leading a science team</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li><li>6+ years of building machine learning models for robotics including LLM, VLM, VLA / LBM and Reinforcement Learning</li><li>PhD and 6+ years of applied research experience</li><li>Experience in software engineering and business applications</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Science Manager, Amazon Industrial Robotics

Miral Group

A leading entertainment company in Abu Dhabi is seeking a Data Science Senior Manager to lead data science projects and mentor a team. The role involves designing and implementing models to shape data-driven strategies in the leisure and entertainment sector. Ideal candidates will have an advanced degree in Data Science and over 8 years of relevant experience. The position offers an opportunity to influence business decisions through AI and advanced analytics.

Senior Data Science Manager - Drive AI & Analytics Strategy

EVA pharma

<div>
 
 
 About Limitless Naturals:
 
 
 
 Limitless Naturals is a fast-growing wellness brand that has been serving the Egyptian market and beyond since 2020. Specializing in food supplements, multivitamins, and sports nutrition, we offer a diverse range of high-quality, science-backed products that support healthier, more active lifestyles.
 
 
 With a keen eye on global trends and consumer needs, we pride ourselves on our agility, our ability to capture emerging health movements early, and our commitment to staying ahead of the curve.
 
 
 Today, Limitless Naturals is expanding across selected international markets. As we continue to grow, our focus remains clear: to dominate the wellness space with innovation, excellence, and a relentless drive to make an impact&nbsp;
 
 
 
 Job Summary
 
 We are seeking a passionate and talented
 
 Business Intelligence Manager
 
 to join our dynamic team.
 
 
 The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Translate organization's strategies into actionable plans/tactics &amp; ensure their implementation through cross-functional coordination
 </li>
 <li>
 Design &amp; develop advanced data analytic/business solutions to track performance, streamline business operations/projects workflow, promoting inter-departmental alignment, eliminating wasted resources &amp; enhancing overall efficiency
 </li>
 <li>
 Analyze complex/large sets of data from different sources, establish &amp; enforce data governance frameworks to maintain the integrity, consistency &amp; reliability of shared data
 </li>
 <li>
 Create/develop comprehensive reports &amp; dashboards to provide real-time visibility of business performance, projects progress &amp; major KPIs for all field force levels to maximize operational efficiency &amp; drive informed, result-oriented field execution
 </li>
 <li>
 Conduct data-driven audits/analysis to identify field/market dynamics or irregularities, ensure compliance &amp; maintain operational standards
 </li>
 <li>
 Strengthen field force data literacy through targeted training and awareness initiatives to enhance business performance
 </li>
 </ul>
 
 
 
 
 
 &nbsp;
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Pharmacy
 </li>
 <li>
 Minimum of 7 years in pharmaceutical industry
 </li>
 <li>
 At least 3 years in data analysis field or any related role
 </li>
 <li>
 Proven experience in people management &amp; cross-function projects
 </li>
 <li>
 Strong understanding of the pharmaceutical industry, business metrics &amp; sales analysis
 </li>
 <li>
 Master's degree in Data Science is a plus
 </li>
 </ul>
</div>

Business Intelligence & SFE Manager "Limitless Naturals"

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