Note: The job is a remote job and is open to candidates in USA. hackajob is partnering with a US-based technology & consulting client to find a talented Senior Consultant Data Scientist. In this role, you will design and execute data science projects, translating complex business challenges into data-driven strategies while mentoring junior team members.

Responsibilities

• Design, build, and deploy machine learning and predictive models that drive measurable business outcomes
• Partner with client stakeholders to translate business problems into data science solutions
• Apply deep learning, NLP, and advanced statistical techniques to solve complex problems at scale
• Deploy and monitor models in production using CI/CD pipelines and MLOps best practices
• Work with large-scale data platforms including Hadoop, Spark, and AWS cloud services
• Present findings and recommendations to executive stakeholders in clear, actionable terms
• Mentor and guide junior data scientists on methodology and best practices

Skills

• US Citizenship required
• 5+ years of experience in predictive analytics using Python, R, or Scala
• 3+ years writing complex SQL for data extraction and transformation
• Hands-on experience with machine learning including deep learning and NLP
• Proficiency with large-scale data platforms — Hadoop, Spark, cloud-based solutions
• AWS experience for production data processing, analytics, and model deployment
• CI/CD implementation experience in data science or ML pipelines
• Strong communication skills — you can explain complex models to non-technical executives
• Experience delivering in Agile/Scrum environments
• Federal government or government consulting experience
• MLOps tooling — MLflow, SageMaker, or equivalent
• GenAI/LLM experience — RAG pipelines, fine-tuning, prompt engineering
• Familiarity with DORA metrics in an analytics context

Benefits

• Fully remote, flexible work environment
• Top-tier medical, dental, and vision benefits including HSA options
• 8 weeks parental leave
• 15 days PTO + 10 holidays from day one
• Annual professional development budget + 3 paid PD days
• Technology stipend and hardware refresh every 3 years
• $25/month internet reimbursement
• HeadSpace, TalkSpace, and mental health coverage

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