Company Address: Address 1st Flr, Office 01 | Trance Towers, Tsavo Rd, Nairobi, Kenya

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

    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.

  • Training and Events Coordinator

    Training and Events Coordinator

    Job Description

    REQUIREMENTS

    Conduct industrial needs assessments, identifying data analytics skills or knowledge gaps that need addressing.
    Planning, coordinating and organizing training programs including the venue, registration, facilitators and directing the participants to ensure excellent customer experience.
    Design and develop training programs in coordination with other stakeholders. This may include preparation of training curriculum, workshop materials, marketing material and updating online databases.
    Marketing relevant training programs, reach out to interested parties, close deals and ensuring minimum capacity registration for each session.
    Identify relevant event partners and sponsors and close meaningful relationships while at the same time maintaining the numbers.
    Build a database of workshop attendees and facilitators for future follow-ups.
    Maintain updated curriculum database and training records.
    Uphold best practices and corporate education principles for training.
    Handling many different tasks, under time and cost pressures

    QUALIFICATIONS

    BS degree or diploma in training, HR, education, marketing, public relations, communications or business studies, data analytics or related field.
    Proven work experience as a training coordinator, trainer, training facilitator, events organizer or a similar role.
    Hands on experience coordinating multiple training events in a corporate setting.
    Adequate knowledge of digital marketing.
    Ability to organize events with large groups of hands-on participants.
    Ability to execute a full training cycle from planning to evaluation.
    Excellent organizational and communication skills.
    Familiarity with any type of training software and/or knowledge database.
    Outstanding communication skills, both written and verbal.
    Strong working knowledge of instructional design theory as well as proof of successful implementation.
    Proven track record, showing the ability to successfully complete the full training cycle (assess needs, plan, develop, coordinate, monitor and evaluate).
    Knowledgeable about both traditional and modern job training methods and techniques
    Computer skills, including Microsoft Office proficiency.
    Exceptional organizational skills including the ability to handle multiple assignments and prioritize work.

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

    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.