Merkle Science is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing associates will continue to work from home until it’s safe to return to our offices. When our offices re-open every associate will be requested to work from our Bangalore office.
Merkle Science is a blockchain data analysis company. We provide blockchain transaction monitoring and intelligence solutions for crypto asset service providers, financial institutions and government agencies to detect, investigate and prevent money laundering, terrorist financing and other criminal activities.
Founded in 2018, the team comes with a combined experience across for Luno, Paypal, Bank of America and Instamojo. We are headquartered in Singapore with presence in London & Bangalore. We're funded by Digital Currency Group, Bitmex Ventures, Kenetic, Lunex, and SGInnovate. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters, and Amazon. Our headquarters are in Singapore and we have offices in London and Bangalore. For more information, you can also visit our website, Medium, or LinkedIn pages.
Here is our post about the Twitter hack that gives you an idea of how we work with law enforcement agencies: https://medium.com/merkle-science/hack-track-twitterhack-bitcoin-scam-af66c57f4f15
Web-application is completely written on Python, Vue.js and React.js
Infrastructure is deployed through Google Cloud and Amazon Web Services using Docker, Kubernetes and Terraform
We use Apache Beam, Apache Airflow and AWS Sagemaker to manage our Big data and AI workflows
Clickhouse and TigerGraph are the analytical data-warehouses
We are looking for a savvy Data Scientist to grow and develop our data-mining, analytics and data science capabilities.
The hire will be responsible for expanding and optimizing our data collection processes and data pipeline architecture, as well as optimizing data flow. An ideal candidate would be someone who has managed data science or analytics teams in the past. Startup experience or interest in blockchains would be a plus for the role.
Building out and manage a young data science vertical within the organization
Provide technical leadership in the areas of machine learning, analytics and data sciences
Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.
Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.
Develop heuristics, algorithms, and models to deanonymize entities on public blockchains
Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.
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.
Develop in-house algorithms to generate risk scores for blockchain transactions.
Work with data engineers to implement results of your work.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Build, scale and deploy holistic data science products after successful prototyping.
Clearly articulate and present recommendations to business partners, and influence future plans based on insights.
>8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus
Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from ground up
Good understanding of python, bash scripting and basic cloud platform skills (on GCP or AWS)
Excellent communication skills and analytical skills
Work closely with the Founders in helping grow the organisation to the next level alongside some of the best and brightest talent around you
An excellent culture, we encourage collaboration, growth and learning amongst the team
Competitive salary and equity
An autonomous and flexible role where you will be trusted with key tasks.
An opportunity to have real impact and be part of a company with purpose.
If you want to work in a collaborative environment where opportunities are offered, skills are stretched and excellence is rewarded, you might be exactly what we’re looking for.
Reach out to us at firstname.lastname@example.org