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Lead Data Scientist

April, 22

  • usaAlmaty / Astana / Baku
  • usaFull-time
  • usaEngineering
  • usaRemote
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Overview: - Remofirst is an early-stage start-up aiming to revolutionize the industry by offering a platform that enables employers to access talent globally. - The company provides a full-range people management tool, employee benefits, and financial benefits. - Remofirst manages employees and contractors for Fortune 500 companies and top startups. Key Responsibilities: - Leverage expertise in data analysis, machine learning, and statistical modeling to drive insights and solve complex business problems. - Collaborate with cross-functional teams to develop and implement data-driven solutions. - Analyze large datasets, develop machine learning models, and use statistical techniques for decision-making. - Design and build efficient data pipelines, create visualizations, and propose innovative solutions. - Provide technical guidance and mentorship to team members. - Work closely with engineers, product managers, and domain experts to align data science efforts with business priorities. Requirements/Skills/Qualifications: - Minimum of 5-7 years of professional experience in data science or a related role. - Proficiency in programming languages (Python or R), machine learning frameworks, SQL, and big data technologies. - Familiarity with data visualization tools and strong mathematical skills in statistics, probability, and linear algebra. - Strong analytical and problem-solving skills, excellent communication, and proven ability to work in a cross-functional team. - Experience with cloud platforms and knowledge of MLOps practices. - Prior experience leading data science projects or managing teams. Compensation & Benefits: - Competitive compensation package. - 100% remote work policy. - Paid time off (PTO) regulated by local statutory. - Culture that values respect, kindness, smart work, diversity, and inclusion. - Opportunity to influence and grow rapidly in a startup environment. - Work with market-leading companies as happy customers.
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