\nWho is Serotonin\nSerotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, web3 infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels—including public relations, growth marketing, on-chain analytics, content, research, social, and design—Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the web3 ecosystem, connecting builders and founders with essential resources to drive business growth. \n\n\nAbout the Role\nThis role is primarily focused on individual contribution, positioning you as a key member of a growing analytics team. You will begin by working directly with the team lead, with clear opportunities to take on more ownership and leadership responsibilities as you develop in the role. As you demonstrate your skills, you will also have the chance to mentor junior team members as the team continues to grow.\n\n\n\nResponsibilities\n* Execute analysis and visualization of large datasets to identify trends, patterns, and actionable insights\n* Work with your team lead to build and maintain predictive models to forecast business performance and trends\n* Create and maintain comprehensive dashboards that track client KPIs across multiple channels (PR, paid media, social, and web analytics)\n* Apply statistical techniques to analyze data and identify opportunities for optimization\n* Translate data into strategic recommendations that drive decision-making\n* Implement and optimize marketing analytics tools such as Google Analytics, Tableau, and Mixpanel\n* Prepare regular updates and reports for both technical and non-technical stakeholders\n* Support the identification of opportunities for automation and reporting process optimization\n* Collaborate with cross-functional teams to align data strategies with business objectives\n* Work closely with division lead to recommend strategic pivots based on data that may contradict current assumptions\n* Support and mentor junior team members as you grow in your role\n\n\n\nRequirements\n* 3-5+ years of experience in client services operations within marketing or consultancy environments (agency, consulting firm, strategic advisory, etc.)\n* Proven background in data analysis, data visualization, and business intelligence\n* Total proficiency in Python and SQL required, including common data science libraries (pandas, NumPy, scikit-learn, etc.)\n* Experience with R, Java, JavaScript, or Scala is a plus but not required\n* Experience maintaining and analyzing numerous disparate databases across multiple vendor and client platforms\n* Deep experience with data visualization tools like Tableau and Power BI\n* Advanced experience with cloud infrastructure and data architectures, particularly AWS environments\n* Portfolio demonstrating dashboard creation and analytics implementation\n* While experience with blockchain analytics platforms like Dune or Goldsky is certainly valuable, we're equally interested in candidates who demonstrate exceptional analytical aptitude and learning agility\n* Experience in tracking and measuring campaign performance across marketing channels\n* Exceptional communication skills with proven ability to translate complex data into actionable insights for diverse stakeholders\n* Strong organizational and project management skills\n* Prior experience (either personally or professionally) in Web3 is a strong plus\n\n\n\nEducation Requirements\n* Bachelor's degree with relevant quantitative coursework highly preferred\n* Relevant industry certification is highly valued\n* Equivalent practical experience will be considered for candidates who can demonstrate exceptional analytical capabilities and relevant work history\n\n\n\nBenefits\n* Competitive Salary\n* Health Insurance - (US Only) \n* 401(k) - (US Only) \n* Remote Work Environment\n* Maternity/Paternity Leave\n\n\n\n\n\n$75,000 - $105,000 a year\n\nTechnical Assessment\nPlease note that as part of our interview process, candidates may be required to complete a technical assessment with screen recording to evaluate proficiency in Python, SQL, and data analysis. This will involve solving real-world data problems similar to those you would encounter in this role. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Python, Cloud, Junior, Marketing and Legal jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nABOUT THRIVE MARKET \n\n\nThrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification.\n\n\nTHE ROLE\n\n\nThrive Market’s Data Engineering team is seeking a Senior Data Engineer!\n\n\nWe are looking for a brilliant, dedicated, and hardworking engineer to help us build high-impact products alongside our Data Strategy Team. Our site sees millions of unique visitors every month, and our customer growth currently makes us one of the fastest-growing e-commerce companies in Los Angeles. We are looking for a Senior Data Engineer with hands-on experience working on structured/semi-structured/Complex data processing and streaming frameworks. We need your amazing software engineering skills to help us execute our Data Engineering & Analytics initiatives and turn them into products that will provide great value to our members. In this role, we are hoping to bring someone in who is equally excited about our mission, learning the tech behind the company, and can work cross-functionally with other engineering teams. \n\n\n\nRESPONSIBILITIES\n* Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market\n* Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, ETL to data delivery for reporting\n* Collaborate with other technical teams to deliver data solutions which meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse and data marts\n* Identify, troubleshoot and resolve production data integrity and performance issues\n* Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling is implemented in accordance with enterprise standards\n* Perform data source gap analysis and create data source/target catalogs and mappings\n* Develop a thorough knowledge and understanding of cross system integration, interactions and relationships in order to develop an enterprise view of Thrive Market’s future data needs\n* Design, coordinate and execute pilots/prototypes/POC to provide validation on specific scenarios and provide implementation roadmap \n* Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.) for Data Engineering\n* Facilitate workshops to define requirements and develop data solution designs\n* Apply enterprise and solution architecture decisions to data architecture frameworks and data models\n* Maintain a  repository of all data architecture artifacts and procedures\n* Collaborate with IT teams, software providers and business owners to predict and devise data architecture that addresses business needs for collection, aggregation and interaction with multiple data streams\n\n\n\nQUALIFICATIONS\n* Hands on experience  programming in Python, Scala or Java\n* Expertise with RDBMS and Data Warehousing (Strong SQL) with Redshift,Snowflake or similar\n* In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts and Data Lakes\n* Proficiency in logical/physical data architecture, design and development\n* Experience in Data lake / Big data analytics platform implementation either cloud based or on-premise; AWS preferred \n* Experience working with high volumes of data; experience in design, implementation and support of highly distributed data applications \n* Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration E.g. GitHub, Jenkins, Concourse, Airflow, Terraform\n* Experience with writing Kafka producers and consumers or experience with AWS Kinesis \n* Hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Spark etc\n* A knack for independence (hands-on) as well as team work\n* Excellent analytical and problem-solving skills, often in light of ill-defined issues or conflicting information.\n* Experience with streaming data ingestion, machine-learning, Apache Spark a plus\n* Adept in the  ability to elicit, gather, and manage requirements in an Agile delivery environment\n* Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas.\n\n\n\nBELONG TO A BETTER COMPANY\n* Comprehensive health benefits (medical, dental, vision, life and disability)\n* Competitive salary (DOE) + equity\n* 401k plan\n* Flexible Paid Time Off\n* Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences\n* Ability to work in our beautiful co-working space at WeWork in Playa Vista and other locations\n* Dog-Friendly Office\n* Free Thrive Market membership and discount on private label products\n* Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform\n\n\nWe're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process.\nFeeling intimidated or hesitant about applying because you don’t meet every requirement?  Studies prove that women and people of color are less likely to apply for jobs if they do not meet every single qualification. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we sincerely encourage you to apply anyways! As the great Los Angeles King Wayne Gretzky said, “You miss 100% of the shots you don’t take.” Take the shot! \nThrive Market is an EOE/Veterans/Disabled/LGBTQ employer\nAt Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree!\nIf you need assistance or accommodation due to a disability, please email us at [email protected] and we’ll be happy to assist you.\nEnsure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com.\n© Thrive Market 2023 All rights reserved.\n\nJOB INFORMATION\n* Compensation Description - The base salary range for this position is $160,000 - $190,000/Per Year. \n* Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. \n* Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! \n\n\n\n\n\n#LI-DR1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Scala, Senior and Engineer jobs that are similar:\n\n $55,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLos Angeles or Remote

\nAbout Us: \n\n\nPaytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.\n\n\nAbout the role:\n\n\nWe are seeking a highly skilled and experienced Data Scientist who will build and own foundation models with the end goal of mitigating risk across merchant and user journey while enhancing growth across different segments of our business. You will work on developing deep learning (DL) models for Fraud & Risk use cases as well as building in-house foundation models for learning representation of entities like customers, merchants, devices etc. in our ecosystem. In this role you will work with a talented engineering and data science team to build and deploy models at scale. You will have the opportunity to apply and improvise over the latest breakthroughs in AI research from industry and academia and bring them into life with our data product offerings.\n\n\nWhat does this include?\nBuild Sequence and graph representation learning on what our entities (user/merchants/FSE etc) do and how they interact over time in the ever evolving Paytm ecosystem. \nFine tune the learnt models for downstream applications related to better understanding of entities, prevent fraud, target marketing etc.\nDesign, build, evaluate and maintain ML/DL models to detect various types of fraud while improving end user experience\nCollaborate with product and analytics partners for business to ML problem formulation and align on key deliverables\nEnd-to-end management of the entire lifecycle of the machine learning or deep learning project, from identifying objectives and preparing data to testing and validating models, calibrating them, monitoring and feedback loop.\nUnsupervised learning methods to augment existing supervised models, or detect portfolio anomalies\n\n\nRequirements:\n4+ years of work experience as a Data Scientist.\nHave developed and deployed deep neural network models at scale\nKnowledge of sequence representation learning with recursive (RNN, LSTM, ELMO ..) and/or attention (Transformer variations like BERT, GPT, ..)  based neural networks. \nShould have developed and deployed one such model from scratch. \nKnow the trade off between choosing the techniques\nWorking knowledge on Knowledge Graph representation learning using Graph Neural Network (GraphSage/GAT/Graph Transformer ..) is a plus\nExcellent understanding of ML/DL frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.)\nExcellent understanding of computer science fundamentals, data structures, and algorithms.\nShould have familiarity with object-oriented design methodology and application development in Python.\nFamiliar with Big Data related technologies to manage large volumes of complex data (SQL, pyspark). \nKnowledge of Scala is a plus\nPassion to learn and build quick POC’s with state-of-the-art ML/DL algorithms.\nChallenging the norm, creative thinking, collaboration\nWorking experience of fraud risk is plus\nBS in Computer Science or MS in Data Science discipline (or equivalent).\n\n\nWhy join us:\nBecause you get an opportunity to make a difference, and have a great time doing that\nYou are challenged and encouraged here to do stuff that is meaningful for you and for those we serve\nYou should work with us if you think seriously about what technology can do for people\nWe are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.\nLearn more about the exciting work we do in Tech by reading our Engineering blogs\n\n\nCompensation:\nIf you are the right fit, we believe in creating wealth for you. \nWith enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. \nIndia’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Testing, Scala, Senior and Marketing jobs that are similar:\n\n $50,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka