{"id":3225240,"url":"https://alion.io/job/thirdwave-data-scientist","title":"Data Scientist","company":{"id":30640,"name":"Thirdwave","domain":"thirdwave.ai","url":"https://alion.io/company/thirdwave","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":149500,"max":179500,"currency":"USD","period":"year","gross":null,"usd_annual":179500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Dagster","optional":false},{"name":"Datadog","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-25T04:43:14Z","employer_posted_date":null,"last_verified_at":"2026-10-25T04:43:14Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"As the first Unified Growth Platform, Thirdwave empowers blockchain projects with the analytics and insights to understand their customers and the actions that accelerate their growth. We deliver the key infrastructure and tools to enable projects to control their destiny. We connect people to the projects, games, and communities they love.\n\nThirdwave is looking for a highly skilled Data Scientist to join our team. Our ideal candidate is someone with a strong analytical mindset, capable of leading advanced data analytics projects and contributing to the overall data science strategy. You like emerging technologies like Blockchains and are passionate about shaping the industry.\n\nWhat you’ll achieve\nAs a Data Scientist at our startup, you will be pivotal in analyzing billions of blockchain wallets and tens of billions of transactions to derive actionable insights. You will develop and refine both descriptive statistics and predictive models, leveraging your expertise to understand complex blockchain ecosystems and drive data-informed decisions. With significant autonomy, you will have the opportunity to influence our product’s direction and contribute to the company's growth.\n\nYou’ll Also: \n\nBuilding predictive and descriptive statistical models using financial data, such as Lifetime Value (LTV)\n\nDeploying and maintaining models, code, and data pipelines for customer-facing applications\n\nCollaborating closely with engineers and product teams to develop models that drive data-driven decisions\n\nEnhancing our product offerings and identifying new growth opportunities\n\nOptimizing models for performance and cost in distributed data warehouses\n\nConducting data mining on public data to extract actionable insights\n\nManaging ETL connectors to ensure seamless data flow across systems\n\nGuiding the development of visualizations to present data findings in an intuitive and accessible manner\n\nAbout you\n\nFast learner, self-starter, go-getter, and intellectually curious\n\nStrong communicator with the ability to think about data at scale and beyond individual record levels.\n\nPassionate about Blockchain and have a fundamental understanding of protocol mechanisms.\n\nComfortable interacting with various APIs, and raw blockchain queries.\n\nMinimum Qualifications\n\nProficient in building predictive and descriptive models with financial and blockchain data\n\nExperience with distributed data warehouses (e.g., Snowflake, Redshift, or Spark) and optimizing models for performance and cost\n\nExperience with DBT (Data Build Tool) for transforming data within data warehouses\n\nExpertise in data mining and managing ETL processes\n\nStrong programming skills in Python and SQL\n\nExperience with data orchestration frameworks (e.g., Dagster, Luigi, or Prefect) and monitoring tools (e.g., Datadog)\n\nFamiliarity with cloud platforms (e.g., AWS) and databases (e.g., Postgres, Redis)\n\nAbility to develop and deploy customer-facing applications and visualizations\n\nPreferred Qualifications\n\nPrior experience in the blockchain or fintech industries\n\nStrong understanding of statistical and machine learning methodologies\n\nAbility to work in a fast-paced startup environment and collaborate with cross-functional teams\n\nLocation\n\nFlexible, Remote\n\nWhat We Offer\n\nComprehensive medical, dental, and vision coverage for you and your family\n\nAdditional benefits to help care for your family such as flexible parental leave and fertility & adoption assistance\n\nUnlimited PTO, including two recharge weeks (two company-wide weeks off, 13 paid holidays AND a $1000 vacation stipend once a year to spend on travel, etc.\n\nAwesome Perks including a $200 monthly Wellness Stipend to support not just your 'health & fitness' but your general wellbeing, a $500 home office budget to get you set up at home, and a $125 monthly phone & internet stipend\n\nSalary: $149,500 – $179,500 / yearOriginally posted on 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