Junior Data Scientist (Ml, Data Enineering & Data Visualization)

Job Description

We are seeking a Junior Data Scientist (ML, Data Enineering & Data Visualization)  to support one of our clients data science needs. As a Junior Data Scientist , you can expect to spend a large proportion of your day executing the following tasks:
Key Responsobilities (Mandatory):

Improving on the existing Data pipeline by integrating disparate databases.
Maintaining & Improving the performance of Machine Learning Models written in Python & R.
Develop data visualizations using Tableau.

Supportive Responsobilitie:

Look for the right design patterns, libraries, frameworks, and processes
Develops data solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.
Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions.
Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
Protect operations by keeping information confidential
Creating systems that support seamless transition between data integration, data visualization, and modelling phases of data science.

Requirements

3+ years of experience as a software engineer & or data engineer & or data scientist
Sharp in Python  (Flask, Pandas, Numpy & Dask)
Basic Understanding of tableau
Understanding of machine learning.
Experience coding, testing and documenting code, including all front end functionality and templating using contributed modules and developing custom modules as needed.
Experience working in an agile environment.
Experience building complex web systems that have been successfully delivered to customers.
Ability to take a project from scoping requirements through actual launch of the project.
Experience in communicating with users, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines.
Experience with professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations.
Experience with data integration using big data systems such as spark
Knowledge of modern cloud infrastructure best practices

Employment Type: Permanent, Contractual, PartTime
Available to start: Immediately
Analytical skills

Analytical & critical thinking: Capable of evaluating risks, processes and data with strong analytical and critical thinking skills, in order to identify potential issues and improvements that add value for the client.
Detailed & global visions: Ability to have strong attention to details and ability to have a global vision of a business/process.

Communication and interpersonal skills

Communication skills are necessary to articulate insight gained from analysis, by expressing the work done both orally and in writing, in an accurate, clear and concise manner.
Collaboration with line of business clients to achieve objectives.

Business skills

Business knowledge: Knowledge and keen interest in the company’s business, priorities and industry trends.
Technology alignment: Understanding how technology can be leveraged to solve business problems.

Qualifications

Qualifications: Minimum of Bachelor’s degree is required.
Experience: Strong software engineering + database development experience.

Soft Skills: We are looking for people with:

Curiosity, interest and capacity to continuously learn.
Initiative, autonomy and fast integration in professional teams.
Strong ethical standards and high levels of integrity.