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Data Scientist
1 month ago
RemoteEmployment Type:
Full-TimeAbout Us:We are a data-driven agency working with clients across AI, e-commerce, and various industries. Our projects span predictive modeling, machine learning, advanced analytics, and software development to build scalable data-driven solutions. We are looking for a
hybrid Data Scientist & Software Engineer
with strong expertise in ML, predictive modeling, SQL, Python, Power BI, and software development best practices.More than just technical skills, we’re looking for a
critical thinker, problem solver, and strong executor
who thrives in both data science and software engineering.About the Role:As a
Data Scientist / Software Engineer , you will work with multiple clients to develop machine learning models, predictive analytics solutions, and
deploy scalable data-driven applications . You’ll extract insights from data, optimize business processes, and build ML-powered solutions that integrate seamlessly into production systems. This role requires strong analytical skills, software engineering expertise, and the ability to work independently in a remote environment.Key Responsibilities:Develop and
deploy
predictive models and machine learning algorithms to solve business challenges across AI, marketplaces, and other industries.Design, build, and maintain scalable
ML pipelines and data-driven applications
that integrate with client systems.Apply
software engineering best practices
(code optimization, modular design, testing, and CI/CD) to data science solutions.Use
SQL and Python
for data extraction, transformation, and advanced analytics.Build and deploy APIs to serve machine learning models in production environments.Create interactive
Power BI dashboards
to visualize key findings and communicate insights to clients.Collaborate with cross-functional teams to integrate machine learning solutions into production systems and business workflows.Conduct A/B testing and statistical analysis to validate ML models and optimize decision-making.Ensure
data integrity, validation, and compliance
across all data science projects.Stay updated with the latest advancements in machine learning, software engineering, and cloud computing.Minimum Requirements:✅ Bachelor's in
Computer Science, Data Science, Software Engineering, Statistics, Physics, or a numerate discipline from a top university or equivalent practical experience✅
5-7 years of experience in data science, software engineering, and predictive analytics.✅ Strong
SQL
– ability to write optimized queries and handle large datasets efficiently.✅
Proficiency in Python
(Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, FastAPI, Flask) for data manipulation, ML modeling, and automation.✅
Proficiency in a programming language such as Java, C or any other✅ Experience with
software development best practices , including version control (Git), testing, modular programming, and CI/CD pipelines.✅ Proven experience
building and deploying
predictive models and machine learning algorithms in production environments.✅ Experience with
cloud platforms
(AWS, GCP, or Azure) for model deployment and infrastructure.✅ Familiarity with
containerization (Docker, Kubernetes)
for deploying scalable data applications.✅ Experience in
Power BI
for data visualization and storytelling.✅ Ability to
manage multiple projects
in a fast-paced agency environment.What We Offer:✅ Fully remote role with flexible work arrangements.✅ Opportunity to work with exciting AI, Marketplace, and diverse industry clients.✅ Competitive salary and growth opportunities.✅ A collaborative team passionate about
data, AI, and building scalable applications .If you're a Data Scientist who also thrives as a Software Engineer, enjoys solving complex problems, and wants to work across industries, we'd love to hear from you