Senior Data Scientist

Overview: - Remofirst is a platform that enables employers to access talent globally, offering a full-range people management tool, employee benefits, and financial benefits. - The company manages employees and contractors for Fortune 500 companies and top startups, with a team of over 100 people. - Seeking a Senior Data Scientist to drive insights and solve complex business problems, focusing on data analysis, machine learning, and statistical modeling. Key Responsibilities: - Analyze large datasets to identify trends and opportunities for business improvement. - Develop, implement, and optimize machine learning models for specific business challenges. - Use advanced statistical techniques for data-driven decision-making. - Collaborate with cross-functional teams to develop data strategies aligned with organizational goals. - Design and build efficient data pipelines for ETL processes. - Create visualizations and dashboards to communicate findings. - Stay updated with data science advancements and propose innovative solutions. - Provide technical guidance and mentorship to junior team members. - Work closely with engineers, product managers, and domain experts for alignment between data science efforts and business priorities. Requirements/Skills/Qualifications: - Minimum of 5-7 years of professional experience in data science or a related role. - Proficiency in Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), SQL, and big data technologies (e.g., Spark, Hadoop). - Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib). - In-depth knowledge of statistics, probability, and linear algebra. - Strong analytical and problem-solving skills, with the ability to translate business problems into data science solutions. - Excellent verbal and written communication skills. - Proven ability to work effectively in a cross-functional team environment. - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). - Knowledge of MLOps practices for deploying and maintaining machine learning models in production. - Prior experience leading data science projects or managing teams. Compensation & Benefits: - Competitive compensation package. - 100% remote work option. - Paid time off (PTO) regulated by local statutory. - Culture values respect, kindness, and the right to fail. - Diversity and inclusion are integral to the company's DNA. - Opportunity to influence and grow rapidly in a startup environment. - Work with market-leading companies as happy customers. - Competitive compensation and perks package.