Remofirst is seeking a highly skilled and experienced Senior Data Scientist to join their team.
The role involves leveraging expertise in data analysis, machine learning, and statistical modeling to drive insights and solve complex business problems.
Responsibilities include analyzing large datasets to identify trends, developing and optimizing machine learning models, and using statistical techniques to support decision-making.
The Senior Data Scientist will collaborate with stakeholders to define a data strategy that aligns with business goals and design efficient data pipelines for ETL processes.
The position requires creating visualizations and dashboards to communicate findings effectively to both technical and non-technical audiences.
Staying updated with advancements in data science and providing mentorship to junior team members are also key aspects of the role.
Collaboration with engineers, product managers, and domain experts is essential to ensure alignment between data science efforts and business priorities.
Requirements:
Candidates must have at least 5-7 years of professional experience in data science or a related role.
Proficiency in programming languages such as Python or R is required.
Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is necessary.
Strong SQL skills and experience with databases such as MySQL, PostgreSQL, or NoSQL are essential.
Experience with big data technologies like Spark or Hadoop is a plus.
Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib is required.
In-depth knowledge of statistics, probability, and linear algebra is necessary.
Strong analytical and problem-solving skills are essential for translating business problems into data science solutions.
Excellent verbal and written communication skills are required to explain technical concepts to diverse audiences.
Proven ability to work effectively in a cross-functional team environment is necessary.
Experience with cloud platforms such as AWS, Azure, or Google Cloud is required.
Knowledge of MLOps practices for deploying and maintaining machine learning models in production is necessary.
Prior experience leading data science projects or managing teams is preferred.
Benefits:
Remofirst offers a startup environment where employees can influence and grow rapidly.
Employees will have the opportunity to build and scale projects from scratch in a hyper-growth setting.
The company works with market-leading clients like Microsoft and Mastercard, providing a chance to scale impactful projects.
Competitive compensation and 100% remote work are part of the benefits package.
Paid time off (PTO) is regulated by local statutory requirements.
The company culture emphasizes respect, kindness, and the right to fail, valuing hard yet smart work and promoting diversity and inclusion.
