Data Scientist - Machine Learning (5-10 yrs)

Overview :

The Data Scientist plays a critical role in transforming data into insights that drive strategic decision-making within the organization.

Leveraging advanced analytical techniques and statistical methods, the Data Scientist collaborates with cross-functional teams to identify trends, create predictive models, and optimize current processes.

With a strong foundation in statistics and programming, this role is vital for harnessing the power of data to enhance business outcomes, drive innovations, and facilitate organizational growth.

The Data Scientist is expected to communicate findings effectively to both technical and non-technical stakeholders, ensuring that data-driven insights are implemented in practical applications.

As the demand for data-driven strategies continues to rise, the Data Scientist will be instrumental in maintaining the competitive edge of the company by delivering actionable intelligence and supporting data centric decisions across all levels of the organization.

Key Responsibilities :

- Analyze large datasets to identify trends and patterns.

- Create predictive models using machine learning algorithms.

- Communicate complex data insights to non-technical stakeholders.

- Work collaboratively with different departments to define key performance indicators.

- Develop data collection processes to optimize data quality.

- Utilize statistical analysis to interpret data sets.

- Design and implement data-driven solutions for business challenges.

- Conduct A/B testing to determine the best course of action.

- Collaborate with IT teams to ensure data infrastructure meets business needs.

- Create visualizations that articulate analytical findings.

- Stay updated on industry trends and emerging technologies in data science.

- Mentor junior data scientists and analysts.

- Validate data models through rigorous testing.

- Utilize data mining techniques to extract valuable information.

- Present findings to leadership and make strategic recommendations.

Required Qualifications :

- Master's degree in Data Science, Statistics, or related field.

- At least 6 years of experience in a data science role.

- Strong proficiency in Python and R programming languages.

- Experienced with SQL and NoSQL databases.

- Familiarity with data visualization tools such as Tableau or Power BI.

- Solid background in statistics and quantitative analysis.

- Experience with machine learning frameworks (e., TensorFlow, Scikit-learn).

- Proven track record of implementing machine learning solutions.

- Ability to work in a collaborative environment.

- Excellent communication and presentation skills.

- Strong problem-solving abilities with attention to detail.

- Experience with big data technologies (e., Hadoop, Spark).

- Knowledge of cloud platforms and data storage solutions (e., AWS, Azure).

- Ability to manage multiple projects and deadlines effectively.

- Familiarity with version control tools (e., Git).

- Continuous learner committed to professional development.