About Company

Unleash your potential with Career.zycto, a forward-thinking entity dedicated to pioneering innovative solutions through advanced analytics and machine learning. We believe in fostering a dynamic, collaborative remote environment where groundbreaking ideas are celebrated, and impact is paramount. At Career.zycto, Data Scientists are empowered to tackle complex challenges, transform raw data into strategic assets, and directly influence product development and business outcomes. Join us to be part of a team that values continuous learning, embraces cutting-edge technologies, and champions a culture of excellence, all while operating with the flexibility that remote work offers.

Job Description

Are you a highly skilled and passionate Data Scientist with a strong specialization in Machine Learning, seeking to make a significant impact from the comfort of your remote workspace? Career.zycto is looking for an exceptional individual to join our innovative team, transforming complex data into actionable insights and robust predictive models. While this is a remote position, we value our connection to Mansoura, Dakahlia as a hub for talent and innovation.

In this pivotal role, you will be at the forefront of designing, developing, and deploying cutting-edge machine learning solutions that drive business strategy and enhance operational efficiency. You will leverage your expertise in statistical modeling, algorithm development, and data manipulation to solve real-world problems across diverse domains. From identifying emerging trends and building recommendation engines to optimizing processes and predicting future outcomes, your work will directly contribute to our strategic objectives and client success.

We are seeking a proactive problem-solver who thrives in an autonomous yet collaborative environment. You will be responsible for the entire lifecycle of ML projects, from data acquisition and cleaning to model training, evaluation, and deployment. This includes selecting appropriate algorithms, performing feature engineering, ensuring model scalability, and continuously monitoring performance post-deployment. You will also play a crucial role in communicating complex findings to non-technical stakeholders, translating intricate analytical results into clear, concise, and compelling narratives that inform decision-making.

Career.zycto is committed to fostering a culture of continuous learning and innovation. As a remote Data Scientist, you will have access to resources and opportunities for professional development, staying abreast of the latest advancements in AI and ML. We encourage experimentation, critical thinking, and a dedication to data integrity. If you are passionate about pushing the boundaries of what's possible with data science and machine learning, and are eager to contribute to a dynamic, forward-thinking organization that values your expertise, we encourage you to apply. This is an incredible opportunity to shape the future of our data-driven initiatives while enjoying the flexibility of a remote work model.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms to solve complex business problems.
• Collect, clean, and preprocess large datasets from various sources, ensuring data quality and integrity.
• Perform exploratory data analysis to uncover insights and identify trends.
• Conduct feature engineering and selection to optimize model performance.
• Train, evaluate, and tune machine learning models (e.g., supervised, unsupervised, deep learning).
• Deploy ML models into production environments and monitor their performance.
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts, to understand requirements and deliver data-driven solutions.
• Communicate complex analytical findings and recommendations clearly to technical and non-technical stakeholders.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI research.
• Contribute to the development of best practices, tools, and processes for data science initiatives.

Required Skills

• Expertise in Python programming, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow/Keras, or PyTorch.
• Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction).
• Proficiency in statistical modeling and hypothesis testing.
• Experience with SQL for data querying and manipulation.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for deploying ML models.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation abilities.
• Ability to work independently and collaboratively in a remote team environment.

Preferred Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Knowledge of MLOps principles and tools.
• Experience with version control systems (e.g., Git).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Published research or contributions to open-source projects in machine learning.

Perks & Benefits

• Competitive salary package.
• Flexible remote work environment.
• Opportunities for professional growth and development.
• Access to cutting-edge tools and technologies.
• Collaborative and supportive team culture.
• Continuous learning opportunities through courses and conferences.
• Contribution to impactful, data-driven projects.

How to Apply

Interested candidates are encouraged to apply by clicking on the application link below. Please ensure your resume highlights your experience with machine learning projects and data science methodologies. We look forward to reviewing your application!