Data Science Internship Jobs in Springville, UT

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Level: Intermediate to Senior-Level Shift: Full-Time Compensation: DOE Benefits: Full-time employees are eligible for Health, Dental, Vision, & Life and Accident insurance, an HSA Savings Account, and the opportunity to receive stock options. Company Overview: Complete Solar is a residential solar company dedicated to making clean, renewable energy accessible and affordable for everyone. As climate change continues to impact our world, we focus on creating a brighter, more sustainable future for both people and the planet. We sell directly to consumers and provide a seamless experience from sales and installation to financing and ongoing support. At Complete Solar, we are a value-driven organization that strives to develop a high-trust culture, operate efficiently, and continuously improve. If that sounds like something you want to be a part of, apply today! Join us in revolutionizing the solar industry and building a greener tomorrow. Position Summary: As an AI Data Scientist, you will work with a cross-functional team to design and implement machine learning and AI solutions that drive automation, optimization, and decision-making. You will build and enhance models using advanced algorithms, leverage large datasets, and improve operational workflows across the organization. Your role will focus on researching and developing AI systems that have a real impact on business processes and deliver results. Essential Duties: + As part of the AI Team, you will be doing Research to AI model development including data procuring and analysis, prototyping, testing, and deployment + Strategizing in tight collaboration with leadership. Working closely with product designers to apply AI/ML to create features, collaborate with data engineers for data acquisition from Enphase Digital Platform Products, collaborate with infrastructure engineers to deploy and model pipelines + Writing production-level, re-usable, easy-to-interpret code in Python(required), or other languages, while engaging in collaborative code reviews, and providing technical feedback to improve existing ML model performance + Establish a scalable, efficient, automated processes for large scale data analysis, model development, model validation, and model implementation Minimum Qualifications: + B.Tech/MTech in Computer Science or Electrical /Electronics Engineering from top tier college and >70% marks + PhD or Research work experience in AI / ML streams will be an added advantage + 8+ years of solid experience in developing and deploying AI/ML-based applications. + Solid understanding of linear algebra, algorithms, machine learning, optimization, numerical methods + Experience with regression, classification, recommendations, anomaly detection, deep learning algorithms + Excellent Python coding, strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming + Experience with data science tools including Python scripting, NumPy, SciPy, Matplotlib, scikit-learn, Jupyter Notebooks, Bash Scripting, Linux Environment. + Knowledge and experience in neural network computation optimization, such as distributed training, and network quantization + Leverage data and rigorous analytical methods to drive strategic energy-related data and ML systems + Experience with at least one mainstream deep learning framework such as TensorFlow, PyTorch, Caffe(2), MXNet + Experience with implementing production-ready data science platforms and systems + Exposure or knowledge of Renewable Tech companies + Familiarity with Web Front End (JavaScript/React/Angular) and Mobile App Development. + Familiar with working with any embedded or telecom or hardware product is desirable + Ability to work in a fast-paced environment + Experience with IoT-based systems preferred + Demonstrable proficiency in writing clean and concise code in Python + Ability to understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML. Preferred Qualifications: + Ph.D. in Computer Science, Data Science, or a related field. + Experience with natural language processing (NLP), computer vision, or reinforcement learning. + Familiarity with the solar industry or renewable energy sectors is a plus. + A portfolio of published research papers, open-source contributions, or advanced AI projects.

At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. **Job description** Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. **Key duties and responsibilities** In this role as a Data Scientist, you will: + Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products + Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams + Contributes towards the common data science platform + Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments **Key requirements** + 3+ years of experience developing AI / ML applications and data driven solutions + Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience + Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques + Deep understanding of CS fundamentals, computational complexity and algorithm design + Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes + Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries + Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems + Experience mentoring junior team members + Excellent problem solving and communication skills + Nice to have + M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences. + Knowledge of the healthcare domain and experience with applying AI to healthcare data + Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake + Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs **Our Guiding Principles at Norstella** 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Education benefits Paid parental leave Paid time off **_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_** The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] . Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

About Ancestry: When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry , the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious. AncestryDNA is seeking a motivated and talented Data Scientist, Computational Genomics to join our Bioinformatics organization. You will be an individual contributor responsible for developing and implementing advanced machine learning models to analyze complex biological data. Your work will directly impact our understanding of genetic variation and its implications that will enrich our customers' lives. What you'll do: Design, develop, and implement machine learning algorithms to analyze large-scale genomic datasets. Collaborate with population geneticists, data scientists and engineers to identify and solve complex problems in computational biology. Perform data manipulation, analysis, and modeling using Python. Develop and deploy machine learning models using AWS SageMaker. Design and implement ETL processes using AWS Glue. Utilize AWS Athena for querying and analyzing data stored in Amazon S3. Stream real-time data with AWS Kinesis Data Firehose. Process and analyze large datasets using Amazon EMR. Analyze and interpret biological data, focusing on DNA sequence data to uncover patterns and insights. Stay current with the latest research and advancements in computational biology, machine learning, and genomics. Communicate findings through reports, presentations, and publications. Who you are: Advanced degree (Ph.D. preferred) in Computational Biology, Bioinformatics, Genetics, Computer Science, Machine Learning or a related field. Extensive experience with machine learning techniques and data analysis in a biological context. Advanced programming skills in Python and proficiency with Linux Bash; familiarity with C is a plus. Strong foundations in AWS including SageMaker, Glue, Athena, Kinesis Data Firehouse and EMR Deep understanding of genetics, genomics, and DNA sequence analysis. Familiarity with bioinformatics tools and databases. Knowledge of statistical methods and their application to biological data. Strong communication skills and the ability to present complex data to a diverse audience. Excellent problem-solving skills and the ability to work independently and collaboratively in a multidisciplinary team. Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry's suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at *************************** As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $114,210 - $130,590 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process. Read more about our benefits HERE. *Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23) Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities. All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

**About This Role** As a software engineer on the AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications. Your key responsibilities will encompass: + Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence. + Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base. + Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments. + Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes. + Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements. **Required** **Qualifications:** + Bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Electrical Engineering or related field and 3-5 years of relevant experience + Strong analytical and problem-solving skills - Cloud Experience: o GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure o Databases: SQL, NoSQL, Vector, Time Series, Graph o MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines + AI/ML Experience: o Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation + Programming and Technical Proficiency: o Rust, C++, Python, Shell + Embedded Linux **Preferred** **Qualifications:** + Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV + ML frameworks: TensorFlow, PyTorch + Data Engineering: + FiftyOne, CVAT, Vertex AI, Label Studio + Data Visualization/Story Telling and Data Wrangling/Munging/Big Data + Transformers, LLMs, Knowledge Graphs + Multimedia pipelines: GStreamer, ffmpeg, mediapipe + Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth + Experience working with secure, scalable, high-availability, low latency, and distributed solutions + Containerization and orchestration (Docker, Kubernetes) + Knowledge of RESTful APIs and micro Servicess architecture + JIRA and Confluence proficiency **_Here are some highlighted perks you should ask us about:_** + _Free daily lunch and drinks on site_ + _Paid holidays and flexible paid time away_ + _Employee/Friends/Family_ _Discounts_ + _Onsite health clinic, gym, gaming tables_ + _Medical/dental/vision/life_ _coverage & 24/7 Medical Hotline_ + _401(k) + Employer Match_ + _Employee Resource Groups_ **_WORKING_** **_CONDITIONS:_** _This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines._ Vivint, an equal opportunity employer, does not consider any protected traits (e.g., race, creed, color, religion, gender, national origin, non-job-related disability, age, or any other protected trait) when hiring-under federal, state, and local laws. We are a drug-free environment. We do not conduct pre-employment drug screening; however, we do conduct random drug testing on site.

About Reputation Reputation has changed the way companies improve their customer experience through feedback. Based in Silicon Valley and founded in 2013, Reputation is the global leader in reputation experience management. With its SaaS platform, Reputation technology has managed tens of millions of consumer reviews and consumer interactions across hundreds of thousands of online points of presence for global companies spanning nearly every industry vertical. Reputation was ranked for the second year in a row in G2's Top 100 Best Software list for 2022 as a part of its annual Best Software Awards. Recently, Reputation was named to the Forrester Wave For Customer Feedback management platforms and was recognized by Forrester as one of the most significant social suite vendors. Additionally, Gartner named Reputation to the 2021 Gartner Magic Quadrant for Voice of the Customer. Why work at Reputation? Reputation reached over $100m in Annual Recurring Revenue (ARR) in 2022 and continues to grow worldwide. We've raised over $200 million in funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including $150 million in equity financing from Marlin Equity Partners in January 2022. Reputation is trusted by more than 250 partners, including Google, Facebook, Salesforce, J.D. Power, Amazon and Web.com. Our industry leading platform has been recognized by Forrester and Gartner as a vendor of choice in Voice of the Customer, Customer Feedback Management, and Social Suites research reports. The platform is used by 10+ major automotive OEMs and 16,000 auto dealerships, more than 250 healthcare systems, and over 100 leading property management firms. Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed. Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck. Our Mission: We exist to forge relationships between companies and communities. Reputation.com is the leader in Online Reputation Management, and our mission is to sort through the vast amounts of information about our customers represented in surveys, reviews, and other sources and derive actionable insights and tangible business results for our customers. As a Principal Data Scientist, you will be at the center of this mission. We want you to develop the best algorithms to extract insights from that corpus of customer feedback, build the best models to measure the value of those insights, and lead the way in creating data products out of these models. Principal Data Scientist Responsibilities: Lead and own multiple core models, overseeing their entire lifecycle from understanding complex business needs, to precise problem formulation, advanced modeling, prototyping, and ensuring successful production deployment. Experience developing Saas products using ML/AI is preferred. Strategically collaborate with cross-functional teams, including product, engineering, operations, marketing, and sales, to identify and unlock transformative opportunities for sustained growth and innovation. Drive the application of advanced machine learning algorithms and sophisticated statistical techniques to create and enhance cutting-edge product features. Provide mentorship and guidance to data science team members, fostering a culture of continuous learning and development. Engage in high-level strategic planning and contribute to the company's data-driven decision-making framework. Additional responsibilities as required, commensurate with a leadership role. Qualifications: At least 8 years of progressive experience in data science, with substantial responsibilities in leadership and strategic oversight. Proven ability to integrate feedback from a range of stakeholders-including Product Managers, Engineers, clients, and senior executives-to shape and deliver sophisticated, impactful models and data products. Capable of developing and maintaining a comprehensive strategic roadmap. Demonstrated expertise in using data to address complex problems, driving actionable insights and solutions. An advanced degree (PhD preferred) in Data Science, Analytics, Operations Research, Statistics, or a closely related field. Expertise in machine learning and Large Language Models (LLMs), including prompt engineering, fine-tuning, and model evaluation. Experience building production-ready AI applications and implementing LLM-powered solutions. Proficiency in NLP techniques, vector embeddings, and context window optimization. Strong knowledge of stochastic modeling and predictive analytics is also required. Exceptional communication skills, with the ability to convey complex model insights clearly and concisely to technical and non-technical stakeholders at all levels. Advanced proficiency in Python, R, or similar languages, and mastery of related machine learning packages. Strong SQL skills and experience with data visualization tools. Strong leadership abilities, demonstrated through team management and project leadership in complex, innovative environments. When you join Reputation, you can expect: Flexible working arrangements. Career growth with paid training tuition opportunities. Active Employee Resource Groups (ERGs) to engage with. An equitable work environment. Our employees say it best: Our employees highlight our: Ample Opportunities - “There are many opportunities to learn and grow. Many open roles are replaced with internal promotions.” Positive Culture - "Great opportunity and exceptional culture." “You will never have a better culture anywhere else. Period.” Training and Tools - “All managers truly want you to succeed, and you are given great tools and training to be successful in your role.” Balance - “Great work life balance and awesome team environment!” Diversity Programs & Initiatives: Our Reputation Nation spans around the world. This global perspective allows us to intentionally unlock the magic that comes from diversity of experience to contribute to our success. At Reputation, we believe in: Diversity: Reputation facilitates a culture where people bring their diverse backgrounds, life experiences and identifications together to achieve our company objectives and contribute their unique perspectives for the betterment of our company, our customers and our people. Equity: Reputation believes in treating every employee fairly. We are committed to ensuring that all employees have fair and equal access and opportunity for advancement. Inclusion: Reputation believes in creating an environment where employees feel comfortable bringing their whole self to work. We believe feedback fuels progress and we ensure that all voices are able to contribute, provide feedback, and make a difference. Belonging: Our culture is one that values collaboration, teamwork, and engagement to ensure that all of our employees across the world know that as part of the Reputation Nation, they are part of something bigger than themselves. We recognize that a culture of belonging cannot exist without a strong foundation of diversity, equity, and inclusion in place. "At Reputation, we see diversity and inclusion as the foundation for an equitable workplace. Our goal is to empower all of our employees, regardless of their background, to make an impact in their work each and every day." - Joe Burton, CEO, Reputation Additionally, we offer a variety of benefits and perks, such as: Flexible PTO Paid company holidays 4 company provided, “Recharge Days,” which are wellness days off for the entire company Several active Employee Resource Groups (ERGs) to help foster inclusion and community Employee Assistance Program Access to a wide variety of unique perks and apps: PerkSpot Wellhub (Gym Pass) Carrot Fertility Omada Ladder SoFi Fetch Pet Insurance Calm for Kaiser Spring Health for Guardian XP Health for Guardian (virtual eye-wear platform) 401k Health, dental and vision insurance Paid maternity leave Employer paid short and long term disability and life insurance We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To learn more about how we handle the personal data of applicants, visit our Candidate Privacy Notice. Applicants only - No 3rd party agency candidates.

About This Role As a software engineer on the AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications. Your key responsibilities will encompass: Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence. Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base. Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments. Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes. Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements. Required Qualifications: Bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Electrical Engineering or related field and 3-5 years of relevant experience Strong analytical and problem-solving skills • Cloud Experience: o GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure o Databases: SQL, NoSQL, Vector, Time Series, Graph o MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines AI/ML Experience: o Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation Programming and Technical Proficiency: o Rust, C++, Python, Shell Embedded Linux Preferred Qualifications: Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV ML frameworks: TensorFlow, PyTorch Data Engineering: FiftyOne, CVAT, Vertex AI, Label Studio Data Visualization/Story Telling and Data Wrangling/Munging/Big Data Transformers, LLMs, Knowledge Graphs Multimedia pipelines: GStreamer, ffmpeg, mediapipe Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth Experience working with secure, scalable, high-availability, low latency, and distributed solutions Containerization and orchestration (Docker, Kubernetes) Knowledge of RESTful APIs and micro Servicess architecture JIRA and Confluence proficiency Here are some highlighted perks you should ask us about: Free daily lunch and drinks on site Paid holidays and flexible paid time away Employee/Friends/Family Discounts Onsite health clinic, gym, gaming tables Medical/dental/vision/life coverage & 24/7 Medical Hotline 401(k) + Employer Match Employee Resource Groups WORKING CONDITIONS: This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team. As a rapidly scaling technology company, we are expanding our commercial deployments team to support revenue growth. We are currently looking for a Data Scientist to join our growing team. In this position, the Data Scientist will work closely with our deployments team to deliver cutting-edge analytics/software solutions to our customers. Specifically, the Data Scientist will be responsible for understanding specific problem domains in depth, ingesting customer-specific data, building tailored ML models for a given domains, and evaluating the impact of these models. ResponsibilitiesDevelop and deploy analytic models on industrial data Integrate new data sources into our data pipeline Validate model performance and quantify value creation potential Co-author technical reports on data analysis and model performance Work with customers to understand new data sources and the processes they support (this will likely involve travel) Desired Skills2+ years of data science work experience (relevant academic experience will also be considered) Deep experience with Python and the PyData stack Experience iterating on data-driven products and features based on both internal and customer feedback Experience working with very large datasets Bonus PointsExperience with PyTorchFamiliarity with Kubernetes and KubeFlowBackground in time series analysis, Gaussian processes, hidden Markov models, and/or variational inference Direct experience working with enterprise customers $90,000 - $125,000 a year We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions. As a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings! Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. Job Description As a Data Scientist on Strider's Engineering team, your job is to research and develop new data solutions, scale existing data applications, and bend Strider's data strategies to accomplish many goals within a growing startup. We're looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch. What you will do: Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or get lost on problems we didn't even know existed. Transform analytics to insights, applying critical business thinking and creative data solutions toward vaguely defined problems. Develop needed technical and analytical skills to introduce new data and or product capabilities to accelerate Strider's larger mission; leveraging Python, SQL, R, and or other data languages. Collaborate with subject matter experts to deliver value to Strider's growing list of clients. Establish and uphold a data-driven culture for a small but growing team within Strider's Engineering function What you will need to be successful: 3+ years of experience in data science and or analytics. An MS or BS in a quantitative field (e.g. Economics, Statistics, Engineering) Functional knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch is preferred but not required. Ability to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions. Ability to independently manage deliverables and ruthlessly prioritize your work. A rigorous approach towards data quality and cultivating trust with clients, internally and externally. Why join this team: We are geo-distributed and deeply respect-focused work. Wednesdays are distraction-free days and Fridays tend to be the same. Getting work done matters, not meetings and status updates. Most of the data and tools we need to succeed likely don't exist yet. You are empowered to dream big, think outside the box, and generally explore new territory. You'll get daily interactions with all functions and levels of Strider, providing endless opportunities to advance your career. And finally, we revel in learning new things, be it technical languages, spoken languages, or other topics. There is infinite space at Strider to pursue your interests to further yourself, the team, or Strider as a whole. Benefits Competitive Compensation Company Equity Options Flexible PTO Wellness Reimbursement US Holidays (Office Closed) Paid Parental Leave Comprehensive Medical, Dental, and Vision Insurance 401(k) Plan Strider provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Strider complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

GA-CCRi was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in! GA-CCRi is seeking Data Scientists to join our core product team, shaping the future of situational awareness capabilities for our customers. Our teams leverage cutting-edge technology to process petabytes of data and extract features in near real time, all while providing a rich, live view of objects on land, sea, and sky. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them. DUTIES AND RESPONSIBILITIES: Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement. Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches. Communicate insights and findings from analysis and experiments to product, service, and business managers. Recommend solutions to moderately complex technical and procedure issues. Identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner. Interact with product and service teams to identify questions and issues for data analysis and experiments. Document findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication. Represent the organization as a contact with internal and external representatives. Maintain the strict confidentiality of sensitive information. Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. May substitute equivalent experience in lieu of education. Willing to obtain Top Secret/SCI clearance with CI Poly Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts. Must be able to work both independently and in a team environment. Able to work extended hours as required. PREFERRED SKILLS AND EXPERIENCE: Active TS/SCI Clearance with CI Poly Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc) Proficiency in one or more of: Python, Scala, Java, R, Julia, Matlab Ability to understand and implement new models from the literature Experience with distributed analytics and processing (Spark, Hadoop, …) Experience with geospatial data and analytics. Experience with Kalman Filtering Familiarity with Intelligence Community and DoD mission sets.

About Reputation Reputation has changed the way companies improve their customer experience through feedback. Based in Silicon Valley and founded in 2013, Reputation is the global leader in reputation experience management. With its SaaS platform, Reputation technology has managed tens of millions of consumer reviews and consumer interactions across hundreds of thousands of online points of presence for global companies spanning nearly every industry vertical. Reputation was ranked for the second year in a row in G2's Top 100 Best Software list for 2022 as a part of its annual Best Software Awards. Recently, Reputation was named to the Forrester Wave For Customer Feedback management platforms and was recognized by Forrester as one of the most significant social suite vendors. Additionally, Gartner named Reputation to the 2021 Gartner Magic Quadrant for Voice of the Customer. Why work at Reputation? Reputation reached over $100m in Annual Recurring Revenue (ARR) in 2022 and continues to grow worldwide. We've raised over $200 million in funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including $150 million in equity financing from Marlin Equity Partners in January 2022. Reputation is trusted by more than 250 partners, including Google, Facebook, Salesforce, J.D. Power, Amazon and Web.com. Our industry leading platform has been recognized by Forrester and Gartner as a vendor of choice in Voice of the Customer, Customer Feedback Management, and Social Suites research reports. The platform is used by 10+ major automotive OEMs and 16,000 auto dealerships, more than 250 healthcare systems, and over 100 leading property management firms. Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed. Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck. Our Mission: We exist to forge relationships between companies and communities. Reputation.com is the leader in Online Reputation Management, and our mission is to sort through the vast amounts of information about our customers represented in surveys, reviews, and other sources and derive actionable insights and tangible business results for our customers. As a Principal Data Scientist, you will be at the center of this mission. We want you to develop the best algorithms to extract insights from that corpus of customer feedback, build the best models to measure the value of those insights, and lead the way in creating data products out of these models. Principal Data Scientist Responsibilities: Lead and own multiple core models, overseeing their entire lifecycle from understanding complex business needs, to precise problem formulation, advanced modeling, prototyping, and ensuring successful production deployment. Experience developing Saas products using ML/AI is preferred. Strategically collaborate with cross-functional teams, including product, engineering, operations, marketing, and sales, to identify and unlock transformative opportunities for sustained growth and innovation. Drive the application of advanced machine learning algorithms and sophisticated statistical techniques to create and enhance cutting-edge product features. Provide mentorship and guidance to data science team members, fostering a culture of continuous learning and development. Engage in high-level strategic planning and contribute to the company's data-driven decision-making framework. Additional responsibilities as required, commensurate with a leadership role. Qualifications: At least 8 years of progressive experience in data science, with substantial responsibilities in leadership and strategic oversight. Proven ability to integrate feedback from a range of stakeholders-including Product Managers, Engineers, clients, and senior executives-to shape and deliver sophisticated, impactful models and data products. Capable of developing and maintaining a comprehensive strategic roadmap. Demonstrated expertise in using data to address complex problems, driving actionable insights and solutions. An advanced degree (PhD preferred) in Data Science, Analytics, Operations Research, Statistics, or a closely related field. Expertise in machine learning and Large Language Models (LLMs), including prompt engineering, fine-tuning, and model evaluation. Experience building production-ready AI applications and implementing LLM-powered solutions. Proficiency in NLP techniques, vector embeddings, and context window optimization. Strong knowledge of stochastic modeling and predictive analytics is also required. Exceptional communication skills, with the ability to convey complex model insights clearly and concisely to technical and non-technical stakeholders at all levels. Advanced proficiency in Python, R, or similar languages, and mastery of related machine learning packages. Strong SQL skills and experience with data visualization tools. Strong leadership abilities, demonstrated through team management and project leadership in complex, innovative environments. When you join Reputation, you can expect: Flexible working arrangements. Career growth with paid training tuition opportunities. Active Employee Resource Groups (ERGs) to engage with. An equitable work environment. Our employees say it best: Our employees highlight our: Ample Opportunities - “There are many opportunities to learn and grow. Many open roles are replaced with internal promotions.” Positive Culture - "Great opportunity and exceptional culture." “You will never have a better culture anywhere else. Period.” Training and Tools - “All managers truly want you to succeed, and you are given great tools and training to be successful in your role.” Balance - “Great work life balance and awesome team environment!” Diversity Programs & Initiatives: Our Reputation Nation spans around the world. This global perspective allows us to intentionally unlock the magic that comes from diversity of experience to contribute to our success. At Reputation, we believe in: Diversity: Reputation facilitates a culture where people bring their diverse backgrounds, life experiences and identifications together to achieve our company objectives and contribute their unique perspectives for the betterment of our company, our customers and our people. Equity: Reputation believes in treating every employee fairly. We are committed to ensuring that all employees have fair and equal access and opportunity for advancement. Inclusion: Reputation believes in creating an environment where employees feel comfortable bringing their whole self to work. We believe feedback fuels progress and we ensure that all voices are able to contribute, provide feedback, and make a difference. Belonging: Our culture is one that values collaboration, teamwork, and engagement to ensure that all of our employees across the world know that as part of the Reputation Nation, they are part of something bigger than themselves. We recognize that a culture of belonging cannot exist without a strong foundation of diversity, equity, and inclusion in place. "At Reputation, we see diversity and inclusion as the foundation for an equitable workplace. Our goal is to empower all of our employees, regardless of their background, to make an impact in their work each and every day." - Joe Burton, CEO, Reputation Additionally, we offer a variety of benefits and perks, such as: Flexible PTO Paid company holidays 4 company provided, “Recharge Days,” which are wellness days off for the entire company Several active Employee Resource Groups (ERGs) to help foster inclusion and community Employee Assistance Program Access to a wide variety of unique perks and apps: PerkSpot Wellhub (Gym Pass) Carrot Fertility Omada Ladder SoFi Fetch Pet Insurance Calm for Kaiser Spring Health for Guardian XP Health for Guardian (virtual eye-wear platform) 401k Health, dental and vision insurance Paid maternity leave Employer paid short and long term disability and life insurance We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To learn more about how we handle the personal data of applicants, visit our Candidate Privacy Notice. Applicants only - No 3rd party agency candidates.

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide insights that make MeetCute a better place to find a date. The main technologies you'll be working with are Python and MySQL. Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about user experience Effective at turning open-ended projects into concrete deliverables It's also good if you have: Math or CS degree Familiarity with IPython notebook (or Jupyter), pandas, Hadoop How does a MeetCute data scientist #hackdating? First, and most importantly, is the design and analysis of experiments. We run a substantial number of tests in the process of developing our project, and we want to make sure we come to the right conclusions. Data scientists are also often called upon to answer questions about how the site currently functions, to inform and guide future product decisions that we make. These questions tend to be open-ended, so the ability to go from a vague question to a concrete answer is essential. How can you join our team? Send us your resume and tell us why you're excited to join us

; so need to be local or willing to relocate. High preference to someone with a strong Statistics background. As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, diversity, integrity, quality and trust that are integral to our mission. EO/AA The Data Scientist (DS) participates in all stages of inferential and predictive analytics for various projects influencing healthcare operations. This position is not responsible for providing care to patients. Corporate Overview: The University of Utah is a Level 1 Trauma Center and is nationally ranked and recognized for our academic research, quality standards and overall patient experience. Our five hospitals and eleven clinics provide excellence in our comprehensive services, medical advancement, and overall patient outcomes. Responsibilities Provide statistical consulting to other analysts as needed. Works with end-users (healthcare providers, business users etc.) to define and understand project needs and nuance Develops analysis plans to adequately address those needs Procures and validates relevant data Develops inferential and/or predictive models as required Thoroughly documents code and analytical rationale Clearly communicates results as well as strengths and weaknesses of selected analytical approaches as needed to non-technical end users Prepares standardized data extract and transformation processes for use of developed models in production Knowledge / Skills / Abilities Strong database programming skills (e.g. SQL) Strong programming skills in R (preferred) or python Familiarity with statistical analysis of both structured and unstructured data Excellent inter-personal skills Excellent project management skills, including the ability to simultaneously manage multiple projects Qualifications QualificationsRequired Master's degree in Computer Science, Information Systems, Engineering, Math or related field or equivalency. Two years of experience with data preparation/modeling using SQL and R/Python. Qualifications (Preferred) Working Conditions and Physical Demands Employee must be able to meet the following requirements with or without an accommodation. This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions. Physical Requirements Color Determination, Listening, Manual Dexterity, Near Vision, Reaching, Sitting, Speaking, Standing, Walking

Join one of the largest bottlers and distributors of the world's most iconic beverage brands! Why you'll love working at Swire Coca-Cola (enrollment in a Swire Medical Plan is required for some benefits): * Competitive wages paid bi-weekly or optional pay on demand; Overtime opportunities * Health coverage (3 medical options, dental and vision) * Health Savings Accounts w/company match * 401(k) Retirement Plan w/company match * FREE virtual primary care, acute care & physical therapy * FREE Employee Assistance Program * Seven (7) company paid holidays & 3 paid floating holidays * Paid time off (vacation, sick time, bereavement, jury duty, maternity/parental, disability leave &volunteer time) * Discounted & free product * Tuition reimbursement * Opportunities for career advancement Who is Swire Coca-Cola? We are one of the largest bottlers of Coca-Cola and other beverage brands in America. Our 7,200 hardworking and passionate employees produce and distribute more than 50 brands and flavors across 13 states. We have as many careers as we have flavors, and regardless of which role you choose, you have a direct impact on Swire Coca-Cola, our products, and the communities we call home. What does a Data Scientist II do at Swire Coca-Cola? As a Data Scientist II at Swire Coca-Cola you will be responsible for executing high-caliber data science and advanced analytics tasks, including modeling and AI/ML techniques across various channels, customer and consumer segments, markets, and product categories. The ideal candidate should possess practical experience with Databricks, Snowflake, and Microsoft Azure, utilizing these technologies to address intricate, real-world business challenges. You will play a crucial role in designing, implementing, and deploying data-driven solutions, and effectively communicating the implications of findings to the business. If you have advanced machine learning use cases experience in a collaborative and dynamic environment, come join our team. Responsibilities: * Leads business use cases to enhance revenue, reduce costs, increase efficiency, and mitigate risks using advanced data-driven solutions using innovative and designs tools from ideation to proof-of-concept, documenting work, addressing risks, and monitoring for bias and governance for transparency * Data Analysis and modeling applying statistical and machine learning techniques to analyze structured and unstructured data, delivering actionable business insights * Utilizes Databricks and Snowflake's advanced capabilities, such as Streamlit and Snowpark, for building scalable, high-performance data solutions, and integrates these with Microsoft Azure for seamless end-to-end data pipeline orchestration and analytics * Works closely with cross-functional teams, including Data Engineers, Business Analysts, and Product Managers, to understand requirements and deliver impactful solutions by building and deploying machine learning models to address real-world business problems, ensuring alignment with company goals and objectives * Designs, writes, and implements maintainable scalable code solutions using Python and PySpark for engineering and model implementation within the Microsoft Azure cloud stack, including Azure Data Lake, Azure Synapse, and Azure ML Studio * ML Operations (MLOps): Implements and manages machine learning workflows using the Azure DevOps stack, including automated pipelines for model training, deployment, and monitoring * Stays updated with the latest advancements in Databricks, Snowflake, and Azure to ensure the organization leverages cutting-edge technologies. Requirements: * Advanced degree Science, Technology, Engineering, Mathematics or related field required * 4+ years' experience using Python and SQL to drive real-world outcomes using analytics, statistics, and/or computer science experience required * Experience working with cloud-native data and databases such as DataBricks, Snowflake, Azure required * Predictive modeling analytics skillset AI/ML, data cleansing and feature design * Experience utilizing analytics systems, databases, and tools * Ability to independently explore new data to discover opportunities and trends * Up to 25% travel with overnight stays #LI-DNI Apply Now and Share a Coke with Swire! Swire Coca-Cola is an equal employment opportunity and affirmative action employer that participates in the E-Verify program as required by law. All qualified applicants will receive consideration for employment without regard race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status or other legally protected characteristics. Other details * Job Family Data Analytics/Warehousing, & Business Intelligence * Pay Type Salary Apply Now * Draper, UT, USA

We expect the ideal candidates for the Business Analyst Intern role fit the following criteria: General interest in technology and client support. Demonstrates helpful, professional and positive client interaction Ability and desire to learn applications and processes quickly Full-time NOTE: This is not a coding internship, but more of a general technology, support, and customer service introduction. NOTE: This internship is a 4-month internship with the intention of extending the right candidate to a full year. Please apply with that in mind. Extensions are not guaranteed but based on your performance evaluations after 4 months. Education: Major in Computer Information Technology, Communications, or Business Must be currently enrolled in school or within one year of your graduation date. Helpful Skills & Abilities: Effective interpersonal, collaborative, writing, and communication skills with a strong emphasis on customer service Ability to maintain confidentiality Basic understanding of IT business functions Proactive, detail-oriented, dependable, and appropriately prioritize tasks This job operates in a virtual environment M-F and one day a week in the Riverton office building Same Posting Description for Internal and External Candidates Create and respond to service requests/incident tickets based on the business impact; consult with functional analyst and support teams. Under the direction of the product functional analyst validate, recreate and combine bugs into single tickets that are ready for developers to work on. Document operational and support information in our DevOps Wiki under the direction of the functional analyst and support teams.

What makes us Qlik? A Gartner Magic Quadrant Leader for 14 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Data Analyst - Intern Role As a Data Quality & Process Improvement Intern at Qlik, you'll support our Customer Success, Support, and Renewals teams to ensure data integrity and improve core business processes. By leveraging platforms like Salesforce and engaging with analytics-driven insights, you'll help transform how we make decisions, refine our data governance strategies, and deliver superior outcomes for our customers. We are hiring for this position to tackle growing data complexity, enhance workflows, and enable smoother cross-functional collaboration across the organization. What makes this role interesting? * Data Analytics: You'll be immersed in real-world data initiatives within a global technology leader, honing your skills in both analytics and operational efficiency. * Impact & Collaboration: Work hands-on with teams that directly influence customer satisfaction and renewals, helping shape Qlik's ability to serve customers better and faster. * Growth & Challenge: You'll tackle intricate data issues, streamline processes, and develop solutions that address critical challenges. Here's how you'll be making an impact: * Data Integrity Projects: You'll dive into our CRM and support systems-primarily Salesforce-to identify and correct data inconsistencies, ensuring high-quality information across all teams. * Process Optimization: Assess and refine existing workflows for Customer Success, Support, and Renewals, recommending improvements that reduce friction, increase efficiency, and enhance visibility. * Reporting & Analytics: Assist in creating and interpreting reports, dashboards, and analytics to guide strategic decision-making and uncover valuable insights for stakeholders. * Collaboration & Communication: Partner with cross-functional teams (including Customer Success, Support, Renewals, and IT) to gather requirements, discuss findings, and implement solutions. * Innovation & Continuous Improvement: Proactively look for ways to automate manual tasks, implement data governance best practices, and share learnings that can be replicated across the organization. We're looking for a teammate with: * A fundamental understanding of data quality, data governance, or analytics through coursework, projects, or prior internship experience * Strong analytical skills, with the ability to identify patterns, trends, and actionable insights. * Familiarity with Data Analysis tools, such as Qlik Sense, SQL, R, Python, etc. * Excellent communication and collaboration skills, comfortable interacting with multiple business units. * A desire to learn, adapt, and take on new challenges in a rapidly evolving tech environment The location for this role is: King of Prussia, PA or Waltham, MA. Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities! More about Qlik and who we are: Find out more about life at Qlik on social: Instagram, LinkedIn, YouTube, and X/Twitter, and to see all other opportunities to join us and our values, check out our Careers Page. What else do we offer? * Genuine career progression pathways and mentoring programs * Culture of innovation, technology, collaboration, and openness * Flexible, diverse, and international work environment Giving back is a huge part of our culture. Alongside an extra "change the world" day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs The anticipated base salary range for this role is $19.00 USD MIN - $ 22.00 USD MAX per year. Final compensation offered by Qlik will be based on factors such as the candidate's location, job-related skills, education, experience, and other business and organizational needs. Qlik offers a comprehensive benefits package. Qlik is an Equal Opportunity/Affirmative Action Employer. We are committed to fostering a workplace that is diverse, equitable and inclusive. Qualified applicants will receive consideration for employment without regard to actual or perceived: race, color, religion, sex, sexual orientation, gender identity, pregnancy and related medical conditions, genetic information, national origin, age, marital status, protected veteran status, disability status or any other characteristic protected by applicable law. For United States applicants and employees, go to the US Department of Labor's website to review the Equal Employment Opportunity Posters, including the "Know Your Rights" and "Pay Transparency Nondiscrimination" posters. If you need assistance applying for a role due to a disability, please submit your request via email to accessibilityta @ qlik.com. Any information you provide will be treated according to Qlik's Recruitment Privacy Notice. Qlik may only respond to emails related to accommodation requests. Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.

We are seeking an Audit Data Analyst Intern who is passionate about combining auditing with data analytics. This role involves applying data analysis techniques to audit processes, enhancing the effectiveness and efficiency of our audits. As an intern, you will gain hands-on experience in applying data analytics within the context of auditing, working closely with seasoned professionals in the field. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Assist in integrating data analytics into auditing processes. * Analyze large datasets to identify trends, outliers, and areas of risk. * Support the development and maintenance of data models and databases specific to audit needs. * Collaborate with the audit team to apply data analysis findings to audit planning and execution. * Prepare reports and visualizations to communicate audit findings and data insights. * Participate in meetings and workshops to understand the intersection of risk, data analysis and auditing. PHYSICAL DEMANDS AND WORKING CONDITIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The employee is frequently required to stand and walk. The employee must occasionally lift and move up to 50 pounds. Specific vision abilities required by this job include close vision, depth perception, and ability to adjust focus. The employee is occasionally exposed to the risk of electrical shock. The noise level in the work environment is usually moderate. KNOWLEDGE, SKILLS AND ABILITIES: * Excellent leadership, communication, and interpersonal skills. * Basic understanding of IT audit methodologies and frameworks (e.g., COBIT, ISO 27001). * Strong analytical, problem-solving, and project management skills. * Ability to work independently and as part of a dynamic and multilocation team. * Ability to quickly understand complex ideas and business processes. * Proactive in researching business best practice concepts in order to apply as appropriate. * Good organization and project management skills including the ability to handle competing priorities and meet all deadlines and commitments. * Ability to flourish in a fast-paced, complex environment, and willing to adapt to change. * Basic understanding and ability to apply risk and control concepts. * Basic understanding of Risk Management. EDUCATION AND EXPERIENCE: * Currently pursuing a degree in Data Science, Accounting, Finance, Information Systems, or a related field * Basic understanding of auditing principles and practices. * Prior experience/exposure with data analysis tools and software (e.g., SQL, Python, R, ACL Analytics, Alteryx or other data analytic toolset) helpful. * Strong analytical and problem-solving skills. * Ability to interpret large amounts of data and to multi-task. * Strong verbal and written communication skills. Anticipated dates of internship: 6/1/25 - 8/29/25 Work in the state of Utah.

We expect the ideal candidates for the Business Analyst Intern role fit the following criteria: General interest in technology and client support. Demonstrates helpful, professional and positive client interaction Ability and desire to learn applications and processes quickly Full-time NOTE: This is not a coding internship, but more of a general technology, support, and customer service introduction. NOTE: This internship is a 4-month internship with the intention of extending the right candidate to a full year. Please apply with that in mind. Extensions are not guaranteed but based on your performance evaluations after 4 months. Education: Major in Computer Information Technology, Communications, or Business Must be currently enrolled in school or within one year of your graduation date. Helpful Skills & Abilities: Effective interpersonal, collaborative, writing, and communication skills with a strong emphasis on customer service Ability to maintain confidentiality Basic understanding of IT business functions Proactive, detail-oriented, dependable, and appropriately prioritize tasks This job operates in a virtual environment M-F and one day a week in the Riverton office building Same Posting Description for Internal and External Candidates Create and respond to service requests/incident tickets based on the business impact; consult with functional analyst and support teams. Under the direction of the product functional analyst validate, recreate and combine bugs into single tickets that are ready for developers to work on. Document operational and support information in our DevOps Wiki under the direction of the functional analyst and support teams.

We expect the ideal candidates for the Business Analyst Intern role fit the following criteria: General interest in technology and client support. Demonstrates helpful, professional and positive client interaction Ability and desire to learn applications and processes quickly Full-time NOTE: This is not a coding internship, but more of a general technology, support, and customer service introduction. NOTE: This internship is a 4-month internship with the intention of extending the right candidate to a full year. Please apply with that in mind. Extensions are not guaranteed but based on your performance evaluations after 4 months. Education: Major in Computer Information Technology, Communications, or Business Must be currently enrolled in school or within one year of your graduation date. Helpful Skills & Abilities: Effective interpersonal, collaborative, writing, and communication skills with a strong emphasis on customer service Ability to maintain confidentiality Basic understanding of IT business functions Proactive, detail-oriented, dependable, and appropriately prioritize tasks This job operates in a virtual environment M-F and one day a week in the Riverton office building Same Posting Description for Internal and External Candidates Create and respond to service requests/incident tickets based on the business impact; consult with functional analyst and support teams. Under the direction of the product functional analyst validate, recreate and combine bugs into single tickets that are ready for developers to work on. Document operational and support information in our DevOps Wiki under the direction of the functional analyst and support teams.