\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 channelsโincluding public relations, growth marketing, on-chain analytics, content, research, social, and designโSerotonin 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
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
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When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAbout Us: \n\n\nPaytm is Indiaโs 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 banksโ financial instruments. To further enhance merchantsโ 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 POCโs 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 โ and we are committed to it. \nIndiaโs largest digital lending story is brewing here. Itโs 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
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.