Data science internship jobs in Missoula, MT

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/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.

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $160.1K - $188.1K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Job SummaryResponsible for system administration (i. e. , LIMS) and support ensuring activities are documented accurately and are compliant with established policies and regulatory standards. Manages and maintains the database, provides user support and training, troubleshoots issues, and generates reports. Plays a crucial role in data integrity and optimization initiatives. Serves as a technical liaison across locations. Key Responsibilities · Responsible for troubleshooting, resolving, and documenting software issues working with vendors and IT to implement system upgrades and patches. · Serves as the first point of contact for user support, including access requests, configuration assistance, and general troubleshooting. · Creates and delivers training materials for functionality and best practices. Maintains detailed system documentation, including standard operating procedures (SOPs). · Collaborates to help evaluate and streamline existing workflows and implement new system processes that increase efficiency. · Responsible for data cleaning, including identifying and fixing inconsistencies, missing values, or duplicates in the database. · Executes routine data queries and extracts information from the database to support internal and external customer requests. · Designs and generates basic reports for a variety of data, summarizing results for relevant internal and external audiences. · Uses data to evaluate performance, identify trends, and recommend process improvements. · Assists with system integrations to ensure seamless data flow. · Participates in all phases of system implementation and validation. · Ensures the system and all data management processes comply with all standards, policies, and regulations (i. e, ISO 17025, etc. ). Minimum Qualifications (Educations & Experience)· Bachelor's degree in Computer Science, Information Technology, Chemistry, Biology, or a related scientific field• 1+ year of relevant experience or the knowledge, skills, and abilities to succeed in the role Butterball Core Competencies Caring about people, valuing contributions, and empowering to succeed is the Butterball Way. We recognize the value that different perspectives and cultures bring to Butterball and seek to create an environment where everyone can thrive. Everyone has a seat at the table and is expected to embody our core competencies:· Safety First: We put safety first. The health, safety, and well-being of our people, products, and turkeys is everyone's responsibility and everyone's jobs. · Integrity: We trust each other to do the right thing. We act with integrity and gain the confidence and trust of others through honesty, respect, and authenticity. · Stewardship: We take care of what matters. We are accountable to our commitments and take responsibility for the well-being of our teams, our quality, our customers, our business, our brand, and our communities. We are always answerable for our actions and those we lead. · Enthusiastic Attitudes: We create a climate where everyone feels they belong and can be engaged, every day. Where our people are enthusiastic and motivated to do their best and work together to make great things happen. · Continuous Improvement: We are committed to continuous improvement. We challenge ourselves and our company to constantly learn, develop, grow, improve, and innovate. Essential Knowledge, Skills, and Abilities · Proficiency with LIMS software· Working knowledge of statistical methods, understanding of various statistical techniques (e. g. ANOVA, t-tests, etc. ), and their applications· Good critical thinking, data evaluation, troubleshooting, and problem-solving skills with the ability to translate business needs into technical solutions· Solid interpersonal, collaboration, and communication skills with the ability to deliver information and trainings to both technical and non-technical audiences· Strong organizational skills and excellent attention to detail to ensure data accuracy and integrity· Ability to interpret and work within standard practices and policies ensuring compliance Preferred Knowledge, Skills, and Abilities· Experience in a laboratory environment or with LIMS· Familiarity with systems integrations Physical Demands· While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, keyboard, and occasionally lift up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus. · This position requires the individual to wear and work in personal protective equipment while in the laboratory and manufacturing environment. Working Conditions & Travel Requirements· Work will be performed in a variety of conditions including climate-controlled office and laboratory environment(s); in a manufacturing plant environment with varying conditions, such as cold areas, wet areas, warm areas, chemicals, and other site conditions; and in a farm environment including working outdoors in seasonal conditions with live animals and at times in dusty environments. This position requires the individual to wear and work in personal protective equipment while in the laboratory, manufacturing and farm environment. This individual may be working around sick or diseased animals where additional precautions may need to be taken. · The noise level of the office, laboratory and farm environment is usually moderate. The noise level in the manufacturing environment may exceed 85 DBA and require hearing protection. Showering in and out of farm locations may be required. · Travel may be required up to 10% of the time. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of what is required of personnel so classified. Furthermore, they do not imply or establish a contract for employment and are subject to change at the discretion of the employer. Butterball, LLC is an equal opportunity employer and is committed to the fair and impartial treatment of all employees and applicants for employment without regard to gender, age, race, religion, color, national origin, physical or mental disability, military/veteran status, sexual orientation, gender identity and expression, genetic information, marital status, parental status, pregnancy, or any other status protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform theessential functions of this job.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people-experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security. **Responsibilities** The Future Technology Computing group seeks **PhD intern** for the **Winter/Spring of 2026** with a strong background data privacy and cybersecurity, especially focusing on data privacy techniques. Potential candidates should have also strong background in statistical methods and data privacy methodologies. Knowledge in disaggregated memory and distributed computing for scientific workflows is preferred but not strictly required. The internship can be either remote or onsite based on the availability of the candidate. The candidate will be expected to use and familiarize themselves with world leading technologies which are available at the Pacific Northwest National Laboratory. The expected outcome involves high quality research work, represented by peer-reviewed publications and: + Design and test novel privacy techniques for large data storage, shared memory systems. + Participate in the develop and publication of a peer-reviewed publication to present the proposed techniques. + Enhance novel datasets for testing the given techniques. The duration of the internship is 4 months. **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Current enrollment in a Computer Science or Computer Engineering PhD program. + Prior research experience. + Experience working with disaggregated memory systems and concurrent programming. **Hazardous Working Conditions/Environment** Not Applicable **Testing Designated Position** This is not a Testing Designated Position (TDP) **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

Our client is revolutionizing the retail direct store delivery model by addressing critical challenges such as communication gaps, out-of-stock situations, invoicing errors, and price inconsistencies. Leveraging innovative technology and strong partnerships, they help retailers boost sales, increase profits, and enhance customer loyalty. We are looking for a Data Analyst with hands-on experience in AWS QuickSight to join our client's team. In this role, you will work closely with business stakeholders and data teams to analyze sales, inventory, pricing, and operational data to provide actionable insights for better decision-making in the retail space. * Develop, maintain, and optimize interactive dashboards and reports using AWS QuickSight to visualize key retail metrics such as sales performance, inventory levels, and pricing. * Collect, cleanse, and analyze data from multiple sources to support business needs. * Collaborate with business teams to understand requirements and translate them into technical specifications for BI reports. * Perform routine data quality checks to ensure accuracy and consistency of reports. * Assist in identifying trends, anomalies, and opportunities for process improvements. * Support ad-hoc data analysis tasks and contribute to continuous reporting enhancements. * Communicate findings effectively to non-technical stakeholders. * 1-4 years of experience in data analysis, preferably in retail, supply chain, or related sectors. * Practical experience with AWS QuickSight to build insightful dashboards and reports. * Good understanding of SQL for data querying and manipulation. * Familiarity with data visualization best practices and dashboard design. * Basic knowledge of data warehousing concepts and ETL processes. * Analytical mindset with strong attention to detail. * Good communication skills, ability to work collaboratively in a team. * Bachelor's degree in Data Science, Statistics, Business, Computer Science, or related discipline. * Experience working in direct store delivery (DSD), retail, or FMCG industries. * Knowledge of other BI tools like Tableau, Power BI. * Some exposure to Python or R for data analysis. * Understanding of inventory management and supply chain operations. * Ability to translate business challenges into data-driven solutions.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

2 Open Positions Pay range: $20.00 - $21.00/hour (first year interns $20.00/hour, returning interns $21.00/hour) Employment Status: Temporary (January - April part-time, approximately 20 hours per week) (May - August full-time, 40 Hours per Week) External candidates apply at northwesternenergy.com Internal candidates apply through iConnect. About this position: Grid Operations Engineer Intern will assist with all facets of Grid Operations work necessary to maintain a reliable transmission system. About this job: * All NorthWestern Energy employees are required to adhere to company safety standards and the Code of Business Conduct & Ethics * Conduct research and develop reports * Assist in performing outage studies, conduct tests and evaluate reports to validate system operation and reliability * Assist in maintaining departmental procedures and practices * Assist in implementing new operation tools and improving existing tools Am I right for this job? Here's the success profile: * Must possess strong interpersonal communication skills * Proficient in Microsoft office excel, word, and access data base * Must be able to work closely with other individuals and cooperate with other departments * Require Engineering (Electrical, Mechanical, General) Degree * Business and Project Management knowledge desirable * Student must have completed Freshman level or higher by start date * Must be in good academic standing * Must Provide GPA in Resume upon application * Get Into Energy - Energy Industry Fundamental 2.0 certification is a plus (click here to certify at no cost) Requisition #4887 Posting Dates: November 26, 2025 through Open Until Filled Department/Division: Transmission Employment Physical: Not Required Drug Test: Required Background Check: Required Relocation Benefit: None Telecommuting: None We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, age, disability, veteran status, genetic information or any other protected class in accordance with applicable federal or state laws and statutes. In compliance with the ADA Amendments Act, should you have a disability that requires assistance and/or reasonable accommodation with the job application process, please contact the Human Resources department at ************** or at ******************************

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Coinbase's Unit 0x is a specialized on-chain investigations team at the forefront of securing the crypto ecosystem. We identify, analyze, and mitigate critical on-chain threats-including exploits and illicit activity-using advanced blockchain analytics and investigative techniques. Our mission-driven team protects both Coinbase and the broader web3 community from emerging risks. As an Onchain Data Analyst & Researcher, you'll lead challenging investigations into illicit activity, proactively research threat actors, and develop scalable methods to detect suspicious patterns. You'll play a key role in high-risk incidents, special projects, and the continuous improvement of our investigative processes. Success in this role requires curiosity, strong blockchain data analysis skills, and a passion for uncovering and neutralizing threats. If you thrive on solving complex problems with data and want to help shape a secure future for blockchain adoption, we want you on our team. Onchain is the new online. Join us in building a secure future for the next billion users. *What you'll be doing (ie. job duties):* * Conduct in-depth investigations and research into illicit activity, scams, onchain exploits, and vulnerabilities, using blockchain analytics and clustering techniques to surface suspicious trends and patterns. * Analyze and document exploit methodologies, attack vectors, abuse patterns, and incident impacts, providing actionable intelligence to strengthen Coinbase's security posture. * Develop and automate scalable methods for detecting and understanding emerging threats, including building dashboards, writing queries, and supporting incident response with clear, quantitative reporting. * Collaborate with cross-functional teams to educate and advise on evolving exploit tactics, risk landscapes, potential mitigations and investigative best practices. * Monitor and research threat actors, their environments, and emerging blockchain trends to stay ahead of illicit activity and technological developments. * Respond to urgent, sensitive cases with discretion and professionalism, and support team members as needed. * Handle highly sensitive cases with respective urgency and discretion; * Other duties and responsibilities as required or assigned. *What We Look For In You (i.e., Job Requirements)* * A well-organized self-starter who is able to constantly learn and work autonomously; * Ability to handle highly sensitive information; * Excellent writing, analytical and communication prowess; * Deep knowledge of blockchain ecosystems and; * Investigative mindset; * Strong SQL skills - particularly around on chain analysis in conjunction with working knowledge of abuse vectors; * Knowledge to leverage AI to 10x output. *Nice to haves:* * Previous experience in corporate OSINT analysis * Experience with Dune Analytics, Flipside, and/or Chainbase. Position ID: P70663 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $144,500-$170,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Do you want to apply statistical reasoning, probabilistic modelling, and machine-learning techniques to understand player behaviour, evaluate game changes, and guide product decisions? We're looking for a passionate Junior Data Scientist with strong programming skills and a hands-on analytical mindset, capable of building reliable data systems, automating analyses, and developing models and simulations that help the team make better, faster, and more confident decisions. THE DIFFERENCE YOU'LL MAKE: * As a Junior Data Scientist, you will play an important role in shaping how our games evolve and perform, how we use data in that process, and how we bring the Data Science magic into practice. This role blends elements of data engineering and business intelligence, with a focus on data science, giving you end-to-end ownership over how data is captured, transformed, interpreted, and ultimately used to influence the player experience and game strategy. WHAT YOU'LL DO: * Performing Data analyses and Causal data inference, with a main focus on AB testing * Modelling user behaviour from real data and using it to power simulations you develop, representing parts of the game. In the process, you will be relying on game theory, applied probability and statistics, and programming * Applied Machine Learning, from solving complex problems to building production-ready standalone tools and systems * Telemetry design, to ensure that new changes in the game are properly and consistently captured by the data, writing data transformations and maintaining game data quality * Making Reports and Performing Business Monitoring, with a focus on automation WHO YOU'LL WORK WITH: * You'll partner closely with the Product Manager, Game Designers, Developers and the rest of the game team to ensure that decisions are grounded in high-quality data, clear insights, and robust analytical methods. WE ARE A MATCH, IF YOU: * Are passionate about Data Science * Have a Bachelor's degree in Computer Science, Math, Statistics, or other quantitative fields * Know Python, R, and SQL * Have experience with any data visualization tool (such as Tableau, Power BI, Looker, Qlik, etc.), as well as visualization best practices * Have strong knowledge of Statistics and Machine Learning concepts * Love playing games, or following the Gaming industry WE CAN'T WAIT TO MEET YOU, SO DON'T FORGET TO: * Include a link to any data science projects - we'd love to see what you are passionate about! WHY YOU'LL LOVE WORKING HERE: * The team behind the game: transparency and trust from day one, paired with a strong sense of teamwork- that's the essence of who we are. It's not just what you do - it's how you do it and who you do it with. With 280+ teammates from around the world, we're on a mission to bring the joy of winning to millions. * We make your life at Nordeus hassle-free: enjoy Nordeus provided breakfast, lunch, snacks, and beverages, a fully-equipped gym, organized sports activities (yoga, Brazilian jiu-jitsu, basketball, football), an ergonomic workstation, top-notch tech equipment (including laptop, mobile phone and bill coverage, and other tech), a kids' playroom, a music corner, board and video games + latest consoles. * Perks? We've got plenty: premium private medical insurance for you and your family, flexible working hours, take-what-you-need vacation policy, offsites abroad for the whole company, fully-paid maternity and paternity leave, employee stock purchase plan, access to L&D platforms and opportunities and many more. * Make your mark on games played by millions: with over 300M registered users, Top Eleven is the world's most successful football management game. Golf Rival, with more than 60M registered users, is the #2 mobile golf game, aiming to claim the top spot. With one more game in the works, we are continuing our efforts to create powerful mobile sports gaming experiences built to last. * Meaningful career experience: work with experienced game makers and mentors who will support you from day one, helping you map a career path that's true to you. * Impact beyond the screen: It is not just about us. We are part of something bigger than a job. We create a better future for generations to come through the efforts of the Nordeus Foundation. GOOD TO KNOW: * This is a hybrid, on-site position based in Belgrade. * If you are not a Serbian citizen, we offer a relocation package.

Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities * Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption * Formulate hypotheses and validate them by designing, running, and analyzing A/B tests * Determine appropriate metrics and visualizations for tracking, and implement them in dashboards * Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback Qualifications * 4+ years of experience working as a data analyst or in a related role * Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments * Strong Python skills (expected to write production-grade code) * Proficiency with SQL * Experience with Business Intelligence (BI) tools * Deep knowledge of statistics Preferred Qualifications * Proficiency with Apache Spark * Experience with Databricks * Experience with development of LLM-as-a-judge systems

Who we are Pathlabs is an end-to-end digital media partner built for agencies. We handle all aspects of our clients' digital media campaigns, so they can focus on growing their business. Pathlabs is an extension of an agency's team, combining the best of both worlds between in-house teams and media vendors. In a product-obsessed world, we double down on service-based solutions. We focus on planning, executing, optimizing, and reporting of performance-based paid advertising campaigns - providing our clients a single point of entry into the world of digital media. What you'll do Pathlabs is looking for a motivated business data intern who is highly detail-oriented, proactive, and communicative. As an intern, you will receive training from the various Technology team roles and, upon completion, will be embedded into the Support team. Here, you will help maintain accurate business records, solve real business problems, and support our client relationships through reliable data management. This position will work an average of 25 hours per week starting in September. Responsibilities Ensure all our business systems have the latest information daily Alert the team to any data issues or delays that could impact daily operations Work with Support and Media Services team members to identify and fix order setup issues Ensure client data is accurate, properly connected, and updated on time Prepare data exports and reports that other teams will share with clients Help maintain data quality standards that support client satisfaction Track common issues to help improve our business processes Meet with Pathlabs' team members to understand roles and responsibilities in a digital advertising organization Learn basics and fundamentals of Pathlabs' tech stack And other duties as needed to evolve this position What you will bring Business Analytics or Management Information Systems student/graduate with a data analytics or statistics emphasis preferred. Ability to work from HQ at least 1 day a week. Strong communicator - both written and verbal. Strong understanding of basic advertising principles. Ability to give and receive feedback. Strong understanding of mathematical and financial calculations and functions. Proficiency in G-Suite. Candidates must have strong skills in Microsoft Excel and/or Google Sheets. High degree of personal accountability, diligence, and proactivity. What we value Solution-oriented and seek to solve problems Highly organized and detail-oriented. Quick learner with a passion for data and technology Regularly go above and beyond to exceed expectations and goals. Innovative mindset with a passion for bringing forth new ideas and process improvements Think critically and always ask questions High degree of personal accountability, diligence, and proactivity You have the ability to give and receive direction and constructive feedback Creative problem solver: you're GREAT at anticipating challenges before they arise and leading the charge to fix them Alignment with Pathlabs' Core Values: Unforgettable Service People First Own It Master the craft What we provide Hybrid workplace with in-office, flexible, and remote options Weekly office lunches at HQ Dog-friendly offices Employee Assistance Program Continuous learning opportunities funded by Pathlabs **This position is not eligible for immigration sponsorship. Commitment to Inclusivity Pathlabs recognizes and values the impact that diversity in background, experiences, culture, and identity brings to our company. Pathlabs is an equal opportunity employer and does not discriminate on the basis of race, creed, color, sex, national origin, marital status, sexual orientation, religious or political affiliation, gender identity, disability, and any other classification, rather we celebrate these differences. We encourage people of color, members of the LGBTQ+ community, and gender diverse people to apply and we prioritize creating a safe and inclusive workplace for all individuals.

Join Cognizant's Campus Recruitment Team and play a vital role in shaping the future of our workforce. As a Campus Recruiting Intern, you will gain hands-on experience at a global technology leader committed to innovation and inclusion. This role allows opportunities to connect with future leaders and contribute to impactful recruitment initiatives. Being on the campus recruitment team, the intern will work alongside encouraging mentors who are invested in one's career growth and make an impact through meaningful work that shape our future pipeline. This four-month internship offers real-world exposure, professional development, and the potential opportunity for conversion into a full-time role based upon performance, successful completion of the internship, and business needs. **Responsibilities** + Collaborate with campus teams to plan and implement recruiting events and strategies. + Build relationships with universities and student organizations to enhance Cognizant's visibility. + Coordinate and support activities such as career fairs, interviews, and campus presentations. + Manage communications with candidates, ensuring a seamless and positive experience. + Analyze recruitment metrics and trends to refine processes and elevate outcomes. + Contribute to creative projects that strengthen Cognizant's employer brand. **Basic Qualifications** + Pursuing or recently completed a degree in Human Resources, Psychology, Communications, or a similar field (May 2025 or December 2025 graduates preferred). + Passionate about talent acquisition, relationship building, and teamwork. + Excellent communication and organizational skills with an eagerness to learn. + Prior HR or recruiting internship experience is a plus, but not required. **Location(s)** This position is located in Teaneck, NJ, Plano, TX, Phoenix, AZ, Chicago, IL, Atlanta, GA, and Englewood, CO. **Start Date(s)** The internship will last 16 weeks, starting in December 2025 and January 2026. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most sophisticated and patented capabilities. Our associate's backgrounds offer varied perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. If you're comfortable with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you! **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The hourly rate for this role is $30/hour depending on experience and other qualifications of the successful candidate. **Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program). _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

As a Field Research Intern, you will work closely with the Plant Breeding Team and Research Agronomy Team to support small plot research trials, evaluate camelina germplasm, and assist with business development initiatives. This internship offers a unique opportunity to gain hands-on experience in research agronomy while contributing to the advancement of sustainable biofuel crops. We are seeking a highly ambitious, innovative individual who thrives in a fast-paced, interdisciplinary environment and is eager to learn and grow professionally. Essential Functions: Assist in managing small plot research trials, including spraying and harvesting Assist in operations and basic maintenance of small plot equipment (seeders, sprayers, combines) Collaborate with research and support teams to ensure efficient resource use and meet business objectives Support the plant breeding team with phenotypic note-taking and data entry Participate in germplasm evaluation and post-harvest processing Assist with office and warehouse duties Maintain equipment and fleet vehicles Required Skills/Abilities: Mechanical aptitude and the ability to operate or learn to operate machinery Demonstrated leadership, communication, and organizational skills Self-motivated and detail-oriented “Team player” mindset and willing to contribute to group efforts Willingness to travel as needed Must possess a valid US driver's license with a clean driving record Legally authorized to work in the United States Preferred Skills/Abilities: Experience with small plot research trials Pesticide Applicators license or the ability to obtain Knowledge of plant breeding and Northern Great Plains cropping systems Experience working with agricultural producers and stakeholders FAA part 107 commercial drone pilot license Education and Experience: Pursuing or Recently Graduated with a Bachelor's Degree in Agriculture or equivalent Experience in and/or knowledge of agriculture, agronomy, or plant breeding Experience with small plot research trials preferred Physical Requirements: Typical schedule: 40 hours per week with potential for overtime Ability to work in an outdoor environment containing dust and pollen Prolonged periods of sitting at a desk and working on a computer Prolonged periods of standing and walking Must be able to lift up to 50 pounds at times Ability to perform repetitive movements over long periods of time Other duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Equal Employment Opportunity Grapevine Operating Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/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.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Do you want to apply statistical reasoning, probabilistic modelling, and machine-learning techniques to understand player behaviour, evaluate game changes, and guide product decisions? We're looking for a Data Scientist whose strong programming skills and practical analytical experience will enable them to build reliable data systems, automate workflows, and develop models and simulations that help the team make faster and more confident decisions. THE DIFFERENCE YOU'LL MAKE: * As a Data Scientist, you will take meaningful ownership in shaping how our games evolve, how we use data throughout the game-making process, and how we introduce modern Data Science practices into daily decision-making. With several years of hands-on experience behind you, you'll confidently partner with the Product Manager and the broader game team to ensure that decisions are grounded in high-quality data, clear insights, and robust analytical methods. This role blends elements of data engineering and business analytics, with a focus on data science, giving you end-to-end responsibility across the data lifecycle, from how information is captured and transformed to how it is interpreted, automated, and ultimately used to influence player experience and game strategy. WHAT YOU'LL DO: * Data Science [~50%] * Performing Causal inference (Econometrics, double ML, etc.), with a main focus on AB testing * Modelling user behaviour from real data and using it to power simulations you develop, representing parts of the game. In the process, you will be relying on game theory, applied probability and statistics, and programming * Applied Classical Machine Learning (from solving complex problems to building production-ready standalone tools and systems) * Data engineering [~15%] * Telemetry design, to ensure that new changes in the game are properly and consistently captured by the data * Writing data transformations and maintaining game data quality * Business Analytics [~35%] * Making Reports and Dashboards, with a strong emphasis on automation and reliability * Performing Business Monitoring and alerting, with a focus on automation, scalability, and maintainability of the solution * Performing Data analysis (from explorational to explanatory) WHO YOU'LL WORK WITH: * You'll partner closely with the Product Manager, Game Designers, Developers and the rest of the game team to ensure that decisions are grounded in high-quality data, clear insights, and robust analytical methods. WE ARE A MATCH, IF YOU: * Have 3+ years of experience in Data Science or a related field * Have a Bachelor's degree in Computer Science or other quantitative fields * Advanced knowledge of any data visualisation tool (such as Tableau, Power BI, Looker, Qlik, …), as well as visualisation best practices * Have experience with any OOP, as well as Python or R, and SQL. * Have strong knowledge of Statistics and Machine Learning concepts * Love playing games, or following the Gaming industry BONUS POINTS: * Generative or Agentic AI projects * Any experience with cloud computing (such as GCP, AWS, Azure, …) for ML and data infrastructure, big data tools (such as Databricks, Snowflake, Spark, Hadoop, …), or proficiency in MLOps (model deployment, versioning, CI/CD) WHY YOU'LL LOVE WORKING HERE: * The team behind the game: transparency and trust from day one, paired with a strong sense of teamwork- that's the essence of who we are. It's not just what you do - it's how you do it and who you do it with. With 280+ teammates from around the world, we're on a mission to bring the joy of winning to millions. * We make your life at Nordeus hassle-free: enjoy Nordeus provided breakfast, lunch, snacks, and beverages, a fully-equipped gym, organized sports activities (yoga, Brazilian jiu-jitsu, basketball, football), an ergonomic workstation, top-notch tech equipment (including laptop, mobile phone and bill coverage, and other tech), a kids' playroom, a music corner, board and video games + latest consoles. * Perks? We've got plenty: premium private medical insurance for you and your family, flexible working hours, take-what-you-need vacation policy, offsites abroad for the whole company, fully-paid maternity and paternity leave, employee stock purchase plan, access to L&D platforms and opportunities and many more. * Make your mark on games played by millions: with over 300M registered users, Top Eleven is the world's most successful football management game. Golf Rival, with more than 60M registered users, is the #2 mobile golf game, aiming to claim the top spot. With one more game in the works, we are continuing our efforts to create powerful mobile sports gaming experiences built to last. * Meaningful career experience: work with experienced game makers and mentors who will support you from day one, helping you map a career path that's true to you. * Impact beyond the screen: It is not just about us. We are part of something bigger than a job. We create a better future for generations to come through the efforts of the Nordeus Foundation. GOOD TO KNOW: * This is a hybrid, on-site position based in Belgrade. * If you are not a Serbian citizen, we offer a relocation package.