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    Associate Data Scientist, CGS - Oklahoma City, United States - Chainalysis Inc.

    Chainalysis Inc.
    Chainalysis Inc. Oklahoma City, United States

    3 weeks ago

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    Description


    The investigations team at Chainalysis Government Solutions is made up of world class cryptocurrency investigators who build trust in blockchains by mapping cryptocurrency activity to real-world entities–ranging from regulated exchanges to criminal networks.

    As an Associate Data Scientist, you'll engage with investigators in joint blockchain forensic efforts and propose creative solutions to both unique and recurring problems.

    Your data-driven insights will be leveraged for network discovery, and help to surface behaviors and patterns of life based on blockchain activity.

    An ideal candidate for this role is insatiably curious and enjoys identifying new ways in which to optimize and advance our investigations processes.


    In this role, you'll:
    Use huge datasets to identify criminal fingerprints across multiple blockchains, leveraging Chainalysis tools and data to reveal and characterize relationships between entities on the blockchain

    Perform complex research into unique data sets to identify and process collections for investigative leads

    Build data science subject matter expertise amongst your teammates and clients

    Provide valuable insights directly to customers through the use of data analytics, improving their user experience and deepening existing relationships

    Anticipate customer needs and develop solutions for them while identifying opportunities for product improvements

    Build a strong relationship with our Product, Engineering, and Data teams to ensure our analytics align with the needs of our customers

    Design and launch new innovative solutions to ever-expanding customer and company use cases

    We're looking for candidates who have:3+ years of demonstrated expertise in data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)

    Background knowledge of blockchain analytics or forensic investigations

    Data-focused investigative research experience in an intelligence, law enforcement, or academic capacity

    Prior experience using data analytics to solve real world problems, often requiring the ability to communicate well to technical and non-technical audiences

    Experience producing investigative reports within the cybersecurity or geopolitical fields

    Strong organizational skills and attention to detail

    About Chainalysis
    Blockchain technology is powering a growing wave of innovation.

    Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases.

    As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
    You belong here.
    At Chainalysis, we believe that diversity of experience and thought makes us stronger.

    With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us.

    Some of the ways we're ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women's Day, Harvey Milk Day, World Humanitarian Day, and UN International Migrants Day, and a commitment to continue revisiting and reevaluating our diversity culture.

    We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more.

    If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know.

    You can learn more

    here . We can't wait to meet you.

    #J-18808-Ljbffr
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