Data Scientist with Product Managment

**Job Title: Data Scientist**

We are looking for an analytical Data Scientist. As a data scientist at you will be responsible for transforming data into tangible business outcomes for our clients by analyzing information and collaborating on product development. You will also maintain codebase integrity through designing, creating, and supporting AI-driven products to deliver impactful AI solutions.

**Key Responsibilities**:

- Collecting and cleaning data from various sources for data analysis.
- Conducting data analysis and validating various models used across the organization.
- Developing and implementing strategies to identify and mitigate model risks.
- Utilizing advanced statistical and machine learning techniques to analyze complex data.
- Using advanced data science tools to explore and visualize insights and trends in datasets.
- Designing and creating AI-driven products that meet our user requirements.

**Qualifications/Skills**:

- Bachelor’s degree in Data Science, Computer Science, or a related field.
- Minimum experience of 3+ years in the IT industry.
- Expertise in machine learning and deep learning.
- Proficiency in programming languages, such as Python or R.
- Strong understanding of SQL and NoSQL database management.
- Web development skills including Java, React, HTML, and CSS.
- Familiarity with data technology and data engineering practices.
- Strong background in statistical and analytical techniques.

**- Have strong knowledge on product management is added advantage**

**Defining the Data Scientist Role**

A Data Scientist is responsible for interpreting large amounts of complex data and providing insights that will help businesses make informed decisions. They analyze data from various sources, including customer interactions, internal processes, and market trends, to identify patterns, trends, and opportunities that can be used to improve business operations.
- **Primary Responsibilities**_

Generally, the primary responsibilities of a Data Scientist include:

- Gathering and organizing data from various sources.
- Cleaning and validating data to ensure accuracy and completeness.

**Data Analysis**

**Machine Learning**

**Budgeting and Resource Allocation**

Collecting and interpreting data to identify trends and patterns.

Developing and implementing machine learning algorithms to automate processes and improve accuracy.

Developing and managing budgets for data projects and allocating resources effectively.

Creating visual representations of data to help stakeholders understand trends and patterns.

Collaborating with other teams to integrate machine learning models into existing systems and processes.

Managing data projects from start to finish, including planning, execution, and evaluation.

Identifying opportunities for process improvement and making recommendations to stakeholders.

Continuously monitoring machine learning models and adjusting them as needed to ensure accuracy.

Working with stakeholders to develop data-driven strategies that support business goals.
- Conducting statistical analyses on large datasets to identify trends and patterns.
- Developing predictive models and algorithms to forecast future trends and behaviours.
- Interpreting data and communicating insights to stakeholders in a clear and concise manner.
- **Key Duties**_

The key duties of a Data Scientist can vary depending on the organization and the industry. However, some of the most common duties include:
Overall, a Data Scientist plays a crucial role in helping organizations make data-driven decisions that can improve efficiency, profitability, and customer satisfaction.

**Essential Skills for Data Scientists**

Data Scientists are responsible for analysing complex data sets to extract meaningful insights that can help organizations make informed decisions. To excel in this role, Data Scientists require a unique set of technical and soft skills. Here are some of the essential skills that employers look for in a Data Scientist:

- **Technical Skills**_

Technical skills are crucial for Data Scientists, as they work with complex data sets that require advanced statistical analysis and modeling. Here are some of the essential technical skills that a Data Scientist should possess:
**Technical Skills**

**Description**

Programming Languages

Data Scientists should be proficient in programming languages like Python, R, and SQL. These languages are used to manipulate and analyze data sets.

Data Visualization

Data Scientists need to be skilled in creating visual representations of complex data sets using tools like Tableau and PowerBI.

Statistical Analysis

Data Scientists should be proficient in statistical analysis techniques like regression analysis and hypothesis testing to identify trends and patterns in data.
- **Soft Skills**_

Soft skills are equally important for Data Scientists, as they work with stakeholders across various departments to develop insights and provide recommendat