Data Scientist

About the job

Job Description:

As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models,

and providing valuable insights to drive data-informed decision-making across the organization. Your

work will contribute to the development of innovative solutions, optimization of business processes, and

identification of new growth opportunities.

Responsibilities:

• Utilize advanced statistical analysis and machine learning techniques to extract meaningful

insights from large and complex data sets.

• Collaborate with cross-functional teams to define project objectives, gather requirements, and

translate them into analytical tasks.

• Design and execute experiments to test hypotheses and validate models, leveraging statistical

techniques and data visualization methods.

• Identify and collect relevant data from various sources, ensuring data quality and integrity.

• Conduct exploratory data analysis to uncover patterns, trends, and correlations, and

communicate findings effectively to both technical and non-technical stakeholders.

• Build and maintain scalable and efficient data pipelines for data collection, preprocessing, and

feature engineering.

• Stay up-to-date with the latest advancements in data science, machine learning, and statistical

modeling techniques, and apply them to solve business challenges.

• Collaborate with software engineers and IT teams to deploy and integrate models into

production systems.

• Provide mentorship and guidance to junior team members, fostering a culture of continuous

learning and development.

• Identify valuable data sources and automate collection processes

• Undertake preprocessing of structured and unstructured data

• Processing, cleansing, and verifying the integrity of data used for analysis

Requirements:

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a

related field. A Ph.D. is a plus.

• Proven experience as a Data Scientist, applying statistical modeling, machine learning, and data

analysis techniques in a professional setting.

• Proficiency in programming languages such as Python or R, and familiarity with

libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.

• Strong knowledge of statistical analysis methods, experimental design, and hypothesis testing.

• Experience with big data technologies and distributed computing frameworks (e.g., Hadoop,

Spark) is desirable.

• Proficiency in SQL and experience working with databases and data query languages.

• Experience in data mining using state-of-the-art methods

• Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.

• Excellent problem-solving skills and the ability to think critically to develop innovative solutions.

• Strong communication skills to effectively present complex findings and technical concepts to

diverse stakeholders.

• Ability to work both independently and collaboratively in a fast-paced and dynamic environment.

• Strong attention to detail and commitment to delivering high-quality results within tight

deadlines