Our company is seeking a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will play a crucial role in analyzing complex data sets, developing statistical models, and deriving actionable insights that drive business growth and innovation. You will work closely with cross-functional teams, including business stakeholders, engineers, to identify opportunities, solve problems, and contribute to data-driven decision-making processes.

Duties & Responsibilities:

Analyze large and complex data sets to identify trends, patterns, and insights that will drive business strategies and optimize operational processes.
Develop and implement advanced statistical models and machine learning algorithms to solve business problems, automate processes, and enhance predictive capabilities.
Collaborate with cross-functional teams to define project objectives, data requirements, and success metrics.
Design and conduct experiments, A/B tests, and statistical analyses to evaluate the effectiveness of models and algorithms.
Develop data-driven solutions to optimize business performance, improve customer experience, and increase operational efficiencies.
Build and maintain scalable data pipelines, data models, and data visualization dashboards.
Communicate complex findings and insights to both technical and non-technical stakeholders through compelling visualizations, reports, and presentations.
Stay up-to-date with the latest advancements in data science, machine learning, and big data technologies, and apply them to solve business challenges.

Job Requirements:

Proven work experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.
In-depth knowledge of statistical analysis, machine learning techniques, and predictive modeling.
Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is highly desirable.
Strong understanding of data visualization techniques and tools (e.g., Tableau, matplotlib) to effectively communicate complex findings.
Solid understanding of databases and SQL for data querying and manipulation.
Excellent problem-solving and critical-thinking skills, with the ability to approach business challenges from a data-driven perspective.
Can demonstrate an end to end data engineering projects

How to apply:

Submit your CV via email: hr@chipchip.social

AI Engineer