Data Science Internship Jobs in Lake Havasu City, AZ

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Brahma Consulting Group is a Recruitment firm powered by a mission to deliver personalized, industry-focused recruitment solutions. We are currently assisting our client, a global leader in enterprise-grade data analytics and AI solutions, in their search for a Data Scientist in Mountain View, CA. This is a full-time permanent position. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) 3+ Years of Banking / Payments analytics experience preferably in a consulting set-up Strong experience of developing and deploying Predictive/ML solutions Proficiency in SQL, Tableau, Python Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms Excellent communication skills and strong stakeholder management experience Strong problem-solving skills Proficiency in Mandarin is a plus

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Senior Data Scientist Location: San Jose, California Duration: Fulltime Job Summary: Key Responsibilities: We are looking for an experienced Senior Data Scientist with 10 to 12 years of experience in data science specializing in machine learning python statistical modelling and big data technologiespyspark sql The ideal candidate will have a strong background in developing and deploying machine learning models optimizing ML pipelines and handling largescale structured and unstructured data to drive business impact Deep understanding of supervised and unsupervised learning including regression classification Multiclass classification clustering and NLP Proficiency in statistical analysis AB testing and causal inference techniques Experience with model deployment and MLOps in cloud environments AWS GCP Key Responsibilities Develop and deploy machine learning models and predictive analytics solutions for business impact Work with largescale structured and unstructured data to extract insights and build scalable models Design implement and optimize ML pipelines for realtime and batch processing Collaborate with engineering product and business stakeholders to translate business problems into data science solutions Apply statistical modeling AB testing and causal inference techniques to evaluate business performance Apply machine learning and statistical techniques for audience segmentation helping to identify patterns and optimise business strategies Drive research and innovation by staying updated with cuttingedge MLAI advancements and incorporating them into our solutions Optimize data science models for performance scalability and interpretability in production environments Mentor junior data scientists and contribute to best practices in data science and engineering Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

Job Title: Senior Data Analyst Onsite/ Remote: Day 1 Onsite at customer location Job Description: Senior Data Analyst A Dynamics 365 data analyst is responsible for extracting, analyzing, and interpreting data within the Dynamics 365 platform, using this information to generate actionable insights and reports that inform business decisions, often focusing on areas like sales performance, customer behavior, and marketing campaign effectiveness, while utilizing tools like Power BI and SQL to manipulate and visualize the data effectively; key duties include data collection, data cleaning, statistical analysis, report creation, and collaborating with stakeholders to understand business needs and identify key metrics to track. Key Responsibilities: Data Extraction and Cleaning: Accessing data from various Dynamics 365 modules (Sales, Marketing, Customer Service) Identifying and addressing data quality issues, including duplicates and inconsistencies Data transformation and manipulation to prepare it for analysis Statistical Analysis: Performing statistical analysis using appropriate techniques to identify trends and patterns within the data Calculating key performance indicators (KPIs) relevant to business objectives Reporting and Visualization: Developing comprehensive reports and dashboards using Power BI or other visualization tools Creating interactive and user-friendly visualizations to effectively communicate insights to stakeholders Business Insights and Recommendations: Interpreting data analysis results to identify actionable insights and business opportunities Communicating key findings and recommendations to relevant teams to inform decision-making Collaboration and Stakeholder Management: Working closely with business users to understand their data needs and requirements Gathering feedback on reports and dashboards to ensure alignment with business objectives Data Governance and Maintenance: Ensuring data integrity and compliance with data governance policies Monitoring data quality and implementing necessary data cleansing procedures Technical Skills: Proficiency in Microsoft Power BI: Creating and managing data visualizations within Power BI SQL Querying Skills: Writing complex SQL queries to extract and manipulate data from Dynamics 365 Data Analysis Tools: Familiarity with statistical analysis techniques and tools like Excel, R, or Python Dynamics 365 Platform Knowledge: Understanding the structure and functionalities of different Dynamics 365 modules

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are seeking a talented and driven individual to accelerate our efforts and contribute to LinkedIn's data-centric culture. In this role, you will tackle a wide range of technical challenges spanning products, engineering, research, data engineering, finance, and infrastructure. Leveraging data and analysis, you will address critical challenges within our infrastructure organization, shaping product strategy and guiding investment decisions with data-driven insights. LinkedIn's infrastructure is the backbone of our operations, encompassing datacenters, servers, network infrastructure, power systems, and foundational software platforms that power our products and services. Responsibilities • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. • Analyze large-scale structured and unstructured data. • Develop methodologies to enhance LinkedIn's operations and platform capabilities. • Apply technical expertise to our forecasting and capacity planning process to seek opportunities of improvement • Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. • Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. • Initiate and drive projects to completion independently. • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. • Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company. • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Basic Qualifications: • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. • 5+ years of industry or relevant academia experience • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: • 7+ years of industry or relevant academia experience • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. or other quantitative field. • Experience in infrastructure planning, operations research, or a related field • Familiarity with cloud computing platforms and infrastructure management systems. Suggested Skills • Statistical Modeling • Forecasting • Programming • Data Analysis • Infrastructure Planning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Reports To: CEO/Founder Type: Internship (Summer) We are a forward-thinking AI company focused on developing Domain-Specific Artificial Human-Like Assistants (AHLA). Our solutions leverage large language models (LLMs) and innovative alternative architectures to revolutionize industries with high-performance, cost-efficient AI. Through advanced training techniques and model distillation, we aim to reduce the Total Cost of Ownership (TCO) for training and inference by three orders of magnitude, while maintaining or exceeding human-level accuracy in highly specialized domains. As part of this effort, we are looking for an enthusiastic Data Science Intern to join our team for a summer internship. This is an exciting opportunity to get hands-on experience with cutting-edge AI research, machine learning techniques, and domain-specific applications, all while working with industry leaders to improve the accuracy, efficiency, and ethical standards of AI solutions. Position Overview As a Data Science Intern, you will assist in developing innovative data strategies and machine learning algorithms that optimize domain-specific AI models. You will work closely with the data science team to improve model accuracy, ensure data privacy, and help design scalable, high-performance AI models. This internship will provide exposure to real-world data science challenges in AI and offer a chance to learn from experienced professionals in the field. Key Responsibilities Data Strategy & Management: Assist in processing and cleaning domain-specific datasets to ensure accuracy and quality. Contribute to the development of data pipelines and frameworks for analyzing large datasets. Collaborate with the team to extract value from industry-specific data for model training and optimization. Privacy & Compliance: Help ensure that data collection, processing, and model training comply with privacy regulations (e.g., GDPR, HIPAA). Assist in developing privacy-preserving techniques such as federated learning and differential privacy. Model Training & Accuracy Improvement: Contribute to research on advanced machine learning algorithms for improving the accuracy and efficiency of AI models. Assist with applying techniques like distillation, transfer learning, and model compression to optimize AI models for specific domains. Client Engagement & Domain Expertise: Support client engagement efforts by understanding data needs and helping create AI models that meet specific business objectives. Help communicate complex data science concepts to non-technical stakeholders. TCO Optimization: Collaborate with technical teams to optimize model training, data processing, and inference for reduced Total Cost of Ownership (TCO). Explore cost-efficient data utilization strategies while maintaining model performance and accuracy. Research & Innovation: Stay informed about the latest advancements in machine learning, AI, and data science. Assist in evaluating new techniques, algorithms, and architectures for enhancing domain-specific AI models. Qualifications Education: Currently pursuing a Bachelor's, Master's, or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field. Experience: Strong interest in machine learning, AI, and data science. Familiarity with data processing tools and techniques (e.g., Python, Pandas, TensorFlow, PyTorch). Basic understanding of machine learning algorithms, model evaluation, and optimization techniques. Exposure to privacy issues, compliance regulations (e.g., GDPR, HIPAA), and ethical AI is a plus. Skills & Expertise: Strong analytical and problem-solving skills. Experience with large-scale data cleaning, transformation, and analysis. Excellent communication skills with the ability to explain complex data science concepts to both technical and non-technical teams. Personal Attributes: Passion for AI and data science, and a strong desire to learn and innovate. Collaborative mindset with a focus on team success. Self-motivated, organized, and able to work independently when needed. Why Join Us? Work with a talented, passionate team at the cutting edge of AI and data science. Gain hands-on experience working with industry-specific data and applying machine learning algorithms to real-world challenges. Receive mentorship and guidance from experts in the field, with exposure to both the technical and strategic aspects of AI research. Competitive internship compensation and the potential for future opportunities within the company. This internship is an excellent opportunity for students or early-career professionals looking to gain practical experience in AI, machine learning, and data science, while contributing to the development of highly impactful AI technologies. How to apply Send your resume to ************************

Job Title: Engineer: Performance - II Contract - W2 Duration: 1+ Year or 18 Months Please share resume on **************************** Job Requirements/Responsibilities: We are seeking a skilled and detail-oriented Chromebook Benchmarking & Pathfinding Data Analyst to join our team. In this role, you will be responsible for performing rigorous benchmarking on Google Chromebooks. You also will be collecting critical path-finding data to evaluate performance. Finally, you will analyze your benchmarking results and communicate your findings to key stakeholders. Your insights will help us identify areas for improvement and drive product optimization on Qualifications: Bachelor's or M.S. degree in Engineering or a related field (Computer Engineering, Software Engineering, or Electrical Engineering preferred). 3 + years' experience Strong experience with Google Chrome OS and a deep understanding of its features, performance capabilities, and potential bottlenecks. Familiar with running benchmarks/workloads on Chromebooks Proficient in analyzing and interpreting technical data and generating actionable insights. Excellent communication skills, both written and verbal Ability to work independently and as part of a team

Our client, a large entertainment studio, is looking for a skilled Data Analyst to work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely. This is a long-term contract that requires 5 days/week on-site in Los Angeles. Responsibilities: As a Data Analyst, work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely Lead transformational, high-impact data projects from ideation to implementation, ensuring alignment with strategic objectives Investigate issues that intersect revenue and technical areas by liaising with multiple teams and addressing root causes Design and automate impactful reports and dashboards, moving from data extraction and creating complex SQL queries for analysis as needed, to delivering actionable insights at scale Prototype and refine dashboards and analysis tools using data visual platforms like Looker and Tableau Demonstrate adaptability and problem-solving in ambiguous situations, providing actionable insights with support from managers and team members Required Qualifications: 5+ years' experience as a Data Analyst (preferably in tech, entertainment or finance) Tableau, Scripting, Python, ETL development experience Deep knowledge of SQL to extract and manipulate data or with other tools Experience in translating data into business recommendations and business questions into an analysis framework to executive level stakeholders Strong analytical problem-solving mindset; ability to bring structure to uncertainty Excellent written and verbal presentation skills; comfortable presenting findings to stakeholders If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.

Salary: $200K-$230K base + Equity We're looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you'll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment. What You'll Do: Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization. Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact. Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring. Enhance data infrastructure and analytics capabilities by working closely with data engineers and analysts. Translate complex findings into clear recommendations for both technical and non-technical stakeholders. What We're Looking For: 7+ years of experience in Data Science or Machine Learning in high-growth environments. MS/PhD in a quantitative / STEM field (Mathematics, Statistics, Economics, Engineering, Computer Science, etc.). Deep expertise in machine learning algorithms, statistical modeling, and feature engineering. Proficiency in Python (scikit-learn, numpy, pandas) and SQL. Experience with Snowflake and Streamlit is a plus. A bias toward simple, effective solutions before adding complexity. Ability to communicate insights clearly to both technical and non-technical audiences. Thrives in fast-paced, dynamic environments, with a strong sense of ownership and initiative.

We are assisting one of our start up clients build out their Data Science team as they disrupt B2B marketing. This person will apply advanced analytics and machine learning to improve their marketing platform as well as collaborate with senior leadership. Key Responsibilities: Performance & Growth Marketing Analytics: Apply expertise in performance marketing to detect ad fatigue, optimize match rates, and build audience models that drive campaign success. Advanced Analytics & Machine Learning: Collaborate with the Integrations team to apply advanced data analytics and ML techniques to optimize how data flows within Primer. User-Facing Features: Use insights to help build an AI copilot that drives better decision-making for our users, by developing targeting algorithms for improved customer outcomes. Collaborate Across Teams: Partner with internal data architects, product teams, and engineers to ensure data insights are impactful and lead to meaningful product outcomes. Must-Have Qualifications: Growth/Performance Marketing Experience: Expertise in growth/performance marketing analytics, especially in areas such as ad fatigue detection, match rate optimization, and audience modeling. Versatile Data Scientist: Strong capability to handle various aspects of data science-basic analysis and visualization, statistical analysis, and model development. Proven ML Experience: Demonstrated experience in productionizing machine learning algorithms into user-facing features and products. Product-Minded: A deep understanding of product development with a user-centric mindset, collaborating with product teams to prioritize the user experience.

We are seeking a mid-level Data Analyst to join our team. The ideal candidate will have a strong background in data analytics, excellent problem-solving skills, and proven experience using data visualization tools, predictive analytics techniques, and advanced Excel capabilities. This role involves working cross-functionally with marketing, sales, product, and operations teams to understand business needs and align data projects with organizational goals. Key Responsibilities: Analyze complex data sets to extract insights and support data-driven decision-making. Develop and maintain interactive dashboards and reports using data visualization tools (e.g., PowerBI, Tableau, Qlik). Utilize predictive analytics techniques (predictive modeling, machine learning, forecasting) to drive business outcomes. Collaborate with marketing, sales, product, and operations teams to translate business requirements into actionable analytics projects. Create and maintain detailed documentation of data models, analysis methodologies, and reporting processes. Utilize advanced Excel skills (macros, pivot tables, complex formulas) for data manipulation and reporting. Present findings and recommendations to stakeholders in a clear and concise manner. Required Skills & Qualifications: Experience: 5+ years of experience in a data analytics role with strong problem-solving skills. 4+ years of experience using data visualization tools (e.g., PowerBI, Tableau, Qlik). 3+ years of experience in predictive analytics, including predictive modeling, machine learning, or forecasting methods. 3+ years of experience working cross-functionally with marketing, sales, product, and operations teams to align data projects with organizational goals. Technical Skills: Proficiency in advanced Excel (macros, pivot tables, complex formulas). Strong analytical skills with the ability to interpret large and complex data sets. Experience with SQL is a plus. Nice-To-Have: Experience in the Construction or Manufacturing industry in a Data Analytics role focused on resource optimization. Experience analyzing data in a multi-project environment involving large, complex data sets. Proven ability to conduct independent data analysis, uncover actionable insights, and effectively communicate them to support organizational change.

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Salary: $200K-$230K base + Equity We're looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you'll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment. What You'll Do: Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization. Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact. Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring. Enhance data infrastructure and analytics capabilities by working closely with data engineers and analysts. Translate complex findings into clear recommendations for both technical and non-technical stakeholders. What We're Looking For: 7+ years of experience in Data Science or Machine Learning in high-growth environments. MS/PhD in a quantitative / STEM field (Mathematics, Statistics, Economics, Engineering, Computer Science, etc.). Deep expertise in machine learning algorithms, statistical modeling, and feature engineering. Proficiency in Python (scikit-learn, numpy, pandas) and SQL. Experience with Snowflake and Streamlit is a plus. A bias toward simple, effective solutions before adding complexity. Ability to communicate insights clearly to both technical and non-technical audiences. Thrives in fast-paced, dynamic environments, with a strong sense of ownership and initiative.

We are assisting one of our start up clients build out their Data Science team as they disrupt B2B marketing. This person will apply advanced analytics and machine learning to improve their marketing platform as well as collaborate with senior leadership. Key Responsibilities: Performance & Growth Marketing Analytics: Apply expertise in performance marketing to detect ad fatigue, optimize match rates, and build audience models that drive campaign success. Advanced Analytics & Machine Learning: Collaborate with the Integrations team to apply advanced data analytics and ML techniques to optimize how data flows within Primer. User-Facing Features: Use insights to help build an AI copilot that drives better decision-making for our users, by developing targeting algorithms for improved customer outcomes. Collaborate Across Teams: Partner with internal data architects, product teams, and engineers to ensure data insights are impactful and lead to meaningful product outcomes. Must-Have Qualifications: Growth/Performance Marketing Experience: Expertise in growth/performance marketing analytics, especially in areas such as ad fatigue detection, match rate optimization, and audience modeling. Versatile Data Scientist: Strong capability to handle various aspects of data science-basic analysis and visualization, statistical analysis, and model development. Proven ML Experience: Demonstrated experience in productionizing machine learning algorithms into user-facing features and products. Product-Minded: A deep understanding of product development with a user-centric mindset, collaborating with product teams to prioritize the user experience.

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. Job Description LinkedIn is the largest professional social network in the world. With the increasing complexity and diversity of our ecosystem across B2B and B2C, we need a highly experienced and visionary Distinguished Scientist to drive our strategies across business and technology, including up-leveling experimentation rigor and velocity, understanding and quantifying complex cause and effect in the ecosystem, as well as demystifying the AI system to identify significant opportunities. As a key leader in the organization, you will set a grand vision to connect the dots across marketplaces, shape Data Science tech roadmap, bring unparalleled expertise and strategic insights, influence the state of the art in the industry, and serve as an inspiring role model to grow future Data Science leaders. Qualifications Basic Qualifications: PhD in a relevant field or related discipline (statistics, economics, computer science, math etc.), or equivalent research experience 10+ years of relevant work experience Experience leading large-scaled technical projects with multiple stakeholders Preferred Qualifications: 10+ years experience in driving complex experimentation/causal inference design, methodologies, machine learning and measurement at scale, with at least 5 of those years in a technical leadership position Experience in driving both B2B and B2C product and tech strategies and solving ambiguous business problems through analyzing and optimizing two-sided marketplace Experience in driving large scale tech roadmap and partnering with horizontal platform teams to deliver high impact solutions Experience of technical leadership guiding and mentoring data science, engineering, and operations talent Experience leading high-impact, cross-company initiatives Suggested Skills: * Mentoring * Technical Leadership * ML/AI LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Salary: $200K-$230K base + Equity We're looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you'll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment. What You'll Do: Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization. Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact. Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring. Enhance data infrastructure and analytics capabilities by working closely with data engineers and analysts. Translate complex findings into clear recommendations for both technical and non-technical stakeholders. What We're Looking For: 7+ years of experience in Data Science or Machine Learning in high-growth environments. MS/PhD in a quantitative / STEM field (Mathematics, Statistics, Economics, Engineering, Computer Science, etc.). Deep expertise in machine learning algorithms, statistical modeling, and feature engineering. Proficiency in Python (scikit-learn, numpy, pandas) and SQL. Experience with Snowflake and Streamlit is a plus. A bias toward simple, effective solutions before adding complexity. Ability to communicate insights clearly to both technical and non-technical audiences. Thrives in fast-paced, dynamic environments, with a strong sense of ownership and initiative.

We are assisting one of our start up clients build out their Data Science team as they disrupt B2B marketing. This person will apply advanced analytics and machine learning to improve their marketing platform as well as collaborate with senior leadership. Key Responsibilities: Performance & Growth Marketing Analytics: Apply expertise in performance marketing to detect ad fatigue, optimize match rates, and build audience models that drive campaign success. Advanced Analytics & Machine Learning: Collaborate with the Integrations team to apply advanced data analytics and ML techniques to optimize how data flows within Primer. User-Facing Features: Use insights to help build an AI copilot that drives better decision-making for our users, by developing targeting algorithms for improved customer outcomes. Collaborate Across Teams: Partner with internal data architects, product teams, and engineers to ensure data insights are impactful and lead to meaningful product outcomes. Must-Have Qualifications: Growth/Performance Marketing Experience: Expertise in growth/performance marketing analytics, especially in areas such as ad fatigue detection, match rate optimization, and audience modeling. Versatile Data Scientist: Strong capability to handle various aspects of data science-basic analysis and visualization, statistical analysis, and model development. Proven ML Experience: Demonstrated experience in productionizing machine learning algorithms into user-facing features and products. Product-Minded: A deep understanding of product development with a user-centric mindset, collaborating with product teams to prioritize the user experience.

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.