Data Science & Analytics

Lead Data Scientist

Bengaluru   |   Full Time

⚡️ About Merkle Science

We are known industry-wide for our predictive crypto risk & intelligence platform's best-in-class user experience and unmatched customizability. Our solutions provide next-generation crypto threat detection, risk management, and compliance for businesses, banks, and government agencies.


Our growing solution suite includes transaction screening and wallet monitoring, crypto crime investigation tools, enhanced due diligence and entity reporting, and crypto compliance and investigation training. 


Backed by leading venture capital firms Darrow Holdings, Kraken Ventures, Uncorrelated Ventures, Digital Currency Group, Fenbushi Capital, Kenetic, Lunex Ventures and the Singapore Government-supported deep technology fund, SGInnovate, we enable businesses to scale and mature so that a full range of individuals, entities, and services may transact with crypto safely.


🌟 Team and Role

Merkle Science envisions a world powered by crypto. We are creating the infrastructure necessary to ensure the safe and healthy growth of this market, now at a $2 Trillion market cap. We are trailblazers and disruptors who are pushing the boundaries of innovation — to scale and mature so that a full range of individuals and corporations can transact with crypto safely. We are a global company with offices in Singapore, London, Bangalore, and New York.

💥 What will you do?

  1. Develop heuristics, algorithms and models to de-anonymize actors on cryptocurrency blockchains using SQL, Python and Network analytics

  2. Develop in-house algorithms to generate risk scores for blockchain transactions.

  3. Work with data engineers to implement results of your work

  4. Work closely with our product engineers to build, test and maintain data models to analyze cryptocurrency transaction flows and smart contract functionality on blockchains.

  5. Assemble large, complex data sets that meet functional / non-functional business requirements

  6. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

  7. Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors

  8. Develop processes and tools to monitor and analyze model performance/data quality


🙋 What are we looking for? 

  1. 5+ years of relevant work experience as a Data Scientist

  2. Masters or PhD in Statistics/Mathematics or equivalent from Premier Institutes.

  3. Critical thinking and problem-solving skills are essential for interpreting data

  4. Proven track record of developing and implementing Data Science solutions with Machine Learning algos like Regression, Decision Trees, Ensembling techniques, Clustering, Bayesian Models

  5. Relevant experience with open source frameworks and tools like Python, Pytorch, TensorFlow, Scikit Learn, Pandas, NumPy, Spacy, Cloudera Data Science workbench for model building and deployment

  6. Strong knowledge of statistical computer languages such as SQL and Python; familiarity with Scala, Java or C++ is a plus

  7. Strong understanding of relevant math (Statistics, Linear Algebra, Probability Theory)

  8. Experience working on cloud-based infrastructure (Redshift, S3, Kinesis, Bigquery, etc.)

  9. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark

  10. Superior analytical, conceptual and problem-solving skills.

  11. Strong verbal and written communication skills in English.

  12. Experience with data visualization tools such as d3.js, Superset, Periscope is a plus



  👀 What process do we follow? (<2 weeks)

  1. Application: We will keep it simple. You can apply directly through our job portal. All we ask for is a Resume. Additional Portfolio links such as Github, Medium or a Personal website are welcome

  2. Screening: We will screen your profile and get back with a decision within a week.

  3. Interviews: We will have two rounds of interviews. Round one (30mins) will focus on getting to know each other better and identifying if this could work for both of us. Round two (60mins) is a technical round where we will review your prior experience and discuss how you would build systems to solve a problem we will introduce on call. 

  4. Meet the Team: Culture-Fit is essential for both you and us. So we always go the extra mile, and you will meet two other colleagues on the team who you would be working with. Here, you could discuss questions on stack, culture and some other things you might be interested in if you had a consideration for a new role.

  5. Offer Rollout: If all looks well, we will open a bottle of champagne. 


📢 Other information you may want to consider 

  • We will be flexible for the rest of the pandemic and work remotely; however, we are not a remote-first company, and the work location would be Bangalore when things settle.


❤️ Well Being, Compensation and Benefits

We care about your well-being. Along with excellent health insurance, we offer flexible time off, numerous Learning & development initiatives where Merkle Science invests in employee development, and working hours that we have not heard a single complaint against. We respect your weekends too :) We regularly host team-building sessions and encourage discussions around mental well-being as well. 

On the compensation front, We admire the talent and believe in rewarding people for their inputs. Compensation is best in class, along with generous equity, and the whole process will be transparent from the very minute we speak to you.

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