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data scientist i integrity

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 Launched in 2012, Tinder&reg; revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, &ldquo;It Starts with a Swipe&rdquo;&trade;"
 
 
 
 
 
 
 
 
 
 Our Values
 
 
 
 
 
 
 
 One Team, One Dream
 
 
 
 We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
 
 
 
 
 
 
 Own It
 
 
 
 We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
 
 
 
 
 
 
 Never Stop Learning
 
 
 
 We cultivate a culture where it&rsquo;s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
 
 
 
 
 
 
 Spark Solutions
 
 
 
 We&rsquo;re problem solvers, focusing on how to best move forward when faced with obstacles. We don&rsquo;t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
 
 
 
 
 
 
 Embrace Our Differences
 
 
 
 We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
 
 
 
 
 
 
 The Role:
 
 
 
 
 
 
 Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing.
 
 
 
 
 
 As a DS I on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience.
 
 
 
 
 
 Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools.&nbsp;
 
 
 
 
 
 An effective DS I at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder.
 
 
 
 
 
 
 Where you&rsquo;ll work:
 
 
 
 
 This is a hybrid role and requires in-office collaboration two times per week, in LA, SF, or Palo Alto.
 
 
 
 
 
 
 
 
 
 
 
 
 
 In this role, you will:
 
 <li>
 Partner closely with Product, Engineering, and Policy to support Integrity initiatives through data analysis, experimentation, and measurement.&nbsp;
 </li>
 <li>
 Analyze user behavior related to Integrity and safety initiatives to inform product decisions. Proactively monitor product performance and provide actionable insights and recommendations to improve user experience
 </li>
 <li>
 Design and analyze experiments or quasi-experiments to test hypotheses and evaluate the impact of Integrity-related features
 </li>
 <li>
 Develop and maintain dashboards and monitoring tools to track key safety and risk metrics
 </li>
 <li>
 Produce clear, data-driven insights and recommendations, and communicate findings to cross-functional stakeholders
 </li>
 <li>
 Support the evolution of metrics and measurement frameworks for Integrity products under guidance from senior team members
 </li>
 <li>
 Contribute to improving data quality, pipelines, and analytical infrastructure related to trust and safety use cases
 </li>
 
 
 
 
 You&rsquo;ll need:
 
 <li>
 Bachelor&rsquo;s degree or equivalent in a quantitative field, Master&rsquo;s degree or PhD with a social science background preferred.&nbsp;
 </li>
 <li>
 1-2 years of professional working experience in Data Science and/or analytics preferred.&nbsp;
 </li>
 <li>
 Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required
 </li>
 <li>
 Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus
 </li>
 <li>
 Exposure to causal inference concepts or methods is a plus
 </li>
 <li>
 Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.&nbsp;
 </li>
 <li>
 Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior.&nbsp;
 </li>
 <li>
 Comfort using descriptive and inferential statistics.&nbsp;
 </li>
 <li>
 Curiosity of how things work, from both a business and technical perspective.&nbsp;
 </li>
 <li>
 A collaborative growth mindset with a dedication to community-based projects and partnerships.&nbsp;
 </li>
 
 
 
 
 As a full-time employee, you&rsquo;ll enjoy:
 
 <li>
 Flexible Vacation, 10 annual Sick Days
 </li>
 <li>
 Time off to volunteer and charitable donations matching
 </li>
 <li>
 Comprehensive health, vision, and dental coverage
 </li>
 <li>
 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
 </li>
 <li>
 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
 </li>
 <li>
 Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
 </li>
 <li>
 Investment in your wellness: access to mental health support via Modern Health; paid concierge medical membership, pet insurance, ClassPass, Active&amp;Fit Direct fitness membership subsidy, and commuter subsidy
 </li>
 <li>
 Free subscription to Tinder
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;https://www.lifeattinder.com/dei
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 The salary range for this position is $120,000 - $135,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles San Francisco, CA, or Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.&nbsp;
 
</div>

Data Scientist I, Integrity

Data Scientist, Product Analytics

Create Music Group

<div>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide. 
Job Summary
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation. 
Responsibilities
Applied Machine Learning<ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul>
MLOps &amp; Production Engineering<ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul>
Agentic AI &amp; LLM Systems (Stretch)<ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul>
Collaboration &amp; Communication<ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul>
Qualifications<ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul>
Preferred Qualifications<ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul>
Pay Scale<ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul> 
Fair Chance Policy
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</div>

Machine Learning Engineer

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities: 
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul> 

Requirements 
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with CPG Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</div>

Lead Data Scientist(CPG)- Data Science

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 The Production Finance Operations &amp; Innovation (O&amp;I) team is seeking a Data Analyst to support the Production Finance team and cross-functional partners on various data projects. O&amp;I facilitates informed decision-making by providing analysis to stakeholders, including senior leadership and other departments. The role frequently involves quick-turnaround ad hoc reports, as well as long-term analyses, strategic thinking, and stakeholder management.
 
 
 The ideal candidate possesses strong data skills and a passion for innovation, with an interest in Production Finance or the Entertainment industry generally. This position demands the ability to succeed in a highly collaborative, fast-paced setting, a passion for data work, and the ability to learn quickly.
 
 
 
 Responsibilities
 
 
 
 Data Extraction &amp; Transformation: Extract, clean, and transform data from core systems, including the Global Spend Report data model, Payroll Accounting Systems, and the Netflix Production Finance HUB. Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across global markets.
 
 
 Cross-Functional Collaboration: Work closely with stakeholders, including Production Finance, Public Relations &amp; Government Relations, Finance &amp; Strategy, Data Science &amp; Engineering, and Studio Tech Solutions. Act as a proactive thought partner, translating complex business needs into actionable data solutions.
 
 
 Ad Hoc &amp; Strategic Analysis: Engage in both rapid-turnaround ad hoc analyses (e.g., show-level spend, vendor breakdowns, cast and crew location analytics) and longer-term strategic projects (e.g., trend analysis, workflow optimization). Provide actionable insights and clear reporting to support decision-making.
 
 
 Technical Development &amp; Workflow Improvement: Develop expertise in the existing data models, identify data inconsistencies, and recommend improvements to data collection and validation processes. Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.
 
 
 Data Visualization &amp; Reporting: Analyze structured datasets to develop metrics, dashboards, and trend reports using data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms. Present insights in a clear, accessible manner to both technical and non-technical stakeholders.
 
 
 System &amp; Tool Experimentation: Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.
 
 
 Production Finance Team Support: Guide Production Finance executives on data access, analysis, and reporting. Respond to requests for data pulls, insights, and custom analyses as needed.
 
 
 Data Quality &amp; Issue Resolution: Monitor data integrity and troubleshoot urgent issues affecting data coverage or quality, ensuring the highest standards of accuracy and completeness.
 
 
 Documentation &amp; Knowledge Sharing: Maintain clear documentation of data processes, workflows, and system configurations. Share best practices and learnings with the broader team to foster continuous improvement.
 
 
 
 Qualifications
 
 
 
 Education &amp; Experience:
 
 
 <ul>
 <li>
 A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)
 </li>
 <li>
 5+ years of experience in data science, analytics engineering, or a similar data field.
 </li>
 <li>
 Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred
 </li>
 <li>
 Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Advanced SQL proficiency and database infrastructure knowledge required
 </li>
 <li>
 Advanced G Sheets proficiency required
 </li>
 <li>
 Experience with Python/R or other statistical programming languages is required
 </li>
 <li>
 Excellent data analysis and visualization skills
 </li>
 <li>
 Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms
 </li>
 <li>
 Working knowledge of database concepts and data pipelines
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Strong interpersonal skills, with the ability to build relationships with key stakeholders
 </li>
 <li>
 Ability to communicate effectively with global teams
 </li>
 <li>
 Ability to show flexibility in re-prioritizing as situations arise throughout the day
 </li>
 <li>
 Detail-oriented but also interested in understanding the bigger picture
 
 
 </li>
 </ul>
 
 Other Attributes
 
 
 
 <ul>
 <li>
 Must thrive in a fast-paced and collaborative team environment
 </li>
 <li>
 Flexible and open to different perspectives
 </li>
 <li>
 Curious, with a focus on generating results
 </li>
 <li>
 Must be self-motivated, disciplined, highly organized, and able to prioritize tasks
 </li>
 <li>
 Exhibit the highest personal and professional standards of integrity and ethics.
 </li>
 <li>
 Passion for innovation
 
 
 </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000.00 - $230,000.00.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>

Data Analyst, Production Finance Operations & Innovation

<div>
 
 
 Our Mission
 
 
 
 
 
 
 
 As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
 
 
 
 
 
 
 
 We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
 
 
 
 
 
 
 
 What you'll do:
 
 <li>
 Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
 </li>
 <li>
 Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
 </li>
 <li>
 Design and execute A/B experiments to measure the impact of product features and algorithmic changes
 </li>
 <li>
 Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
 </li>
 <li>
 Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
 </li>
 <li>
 Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
 </li>
 <li>
 Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
 </li>
 
 
 
 
 What we're looking for:
 
 <li>
 Passion for using data and experimentation to solve complex problems
 </li>
 <li>
 Intermediate to advanced SQL skills for data querying and analysis
 </li>
 <li>
 Familiarity with / building to proficiency in Python
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning fundamentals
 </li>
 <li>
 Understanding of data structures and algorithms
 </li>
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Data Scientist Intern

Alvarez & Marsal

<div></div><div><div><div>Location: Los Angeles, CA, United States 
Date Posted: Feb 28, 2026</div><div><div> 
</div></div></div><div>Description
Digital Finance Transformation - Data Scientist: Associate &ndash; Private Equity Performance Improvement
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
A&amp;M&rsquo;s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients&rsquo; operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.
Our PEPI CFO Services practice includes the following pillar of services:<ul><li>
Strategic Finance and Liquidity Management</li><li>
Accounting Advisory and Financial Reporting Solutions</li><li>
Working Capital Optimization</li><li>
Digital Finance Transformation</li><li>
Interim Management</li></ul>
How you will contribute
We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function&mdash;modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.
The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&amp;A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.
Qualifications<ul><li>
3-6 plus years of professional experience; consulting or professional services experience preferred.</li><li>
Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).</li><li>
Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).</li><li>
Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.</li><li>
Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.</li><li>
Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.</li><li>
Ability to travel as required</li></ul>
#LI-LS1
Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
The salary range is $90,000-$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.
Full-time Positions and Part-time Positions Over 30 hours
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.
Inclusive Diversity
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
Equal Opportunity Employer
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.
Unsolicited Resumes from Third-Party Recruiters
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
</div><div><h2 class="jobSectionHeader">Inclusive Diversity</h2>
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
<h2 class="jobSectionHeader">Equal Opportunity Employer</h2>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .
<h2 class="jobSectionHeader">Unsolicited Resumes from Third-Party Recruiters</h2>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</div></div>

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

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