Remote Data Science Engineer

Description:

• We are seeking a talented and experienced Data Science Engineer to join our team.
• As a Data Science Engineer, you will be responsible for developing and implementing data-driven solutions that leverage advanced analytics and machine learning techniques.
• You will collaborate closely with data scientists, software engineers, and business stakeholders to design, build, and deploy scalable and robust data science models and applications.
• Your work will play a crucial role in driving data-driven decision-making and delivering actionable insights to improve business outcomes.
• Responsibilities include working closely with cross-functional teams to understand business requirements and identify opportunities for applying data science and machine learning techniques.
• You will design and develop data science models and algorithms that solve complex business problems and deliver actionable insights.
• Implementing end-to-end data science solutions, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment is essential.
• You will collaborate with data engineers to ensure the availability, quality, and reliability of data for analysis and modeling.
• Conducting exploratory data analysis to gain insights and identify patterns, trends, and anomalies in the data is part of the role.
• You will develop and deploy scalable machine learning models and algorithms that can handle large-scale datasets and real-time data streams.
• Optimizing and fine-tuning models for performance, accuracy, and scalability is required.
• Collaborating with software engineers to integrate data science models and algorithms into production systems and applications is necessary.
• Staying up to date with the latest advancements in data science, machine learning, and artificial intelligence and applying them to solve business challenges is expected.
• You will communicate and present complex technical concepts and findings to both technical and non-technical stakeholders in a clear and understandable manner.
• Collaborating with data scientists and domain experts to understand the domain-specific challenges and requirements and translating them into data science solutions is also part of the job.

Requirements:

• A bachelor's or master's degree in computer science, data science, statistics, or a related field is required.
• Proven experience as a Data Science Engineer or in a similar role, with a focus on developing and deploying data science models and applications is necessary.
• Strong programming skills in languages such as Python or R, with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch) are essential.
• Proficiency in SQL and experience with relational databases for data retrieval and manipulation is required.
• A solid understanding of data preprocessing, feature engineering, and model evaluation techniques is necessary.
• Experience with big data technologies and distributed computing frameworks such as Hadoop and Spark is required.
• Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud, and their data-related services (e.g., S3, EMR, ML services) is expected.
• Strong knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing is essential.
• Familiarity with software development practices and version control systems (e.g., Git) is required.
• Excellent problem-solving and analytical abilities, with keen attention to detail are necessary.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and present complex concepts to non-technical stakeholders are essential.

Benefits:

• The position offers the flexibility of remote work, allowing you to work from anywhere.
• It is a full-time role, providing job security and stability.
• You will have the opportunity to work in a mid-level position, which can enhance your career growth and development.
• Collaborating with a diverse team of professionals will provide valuable networking opportunities and knowledge sharing.
• The role allows you to stay updated with the latest advancements in data science and machine learning, contributing to your professional development.