Data Science

1. Data Analyst

Job description

We are looking for a data analyst to find ways to solve problems relating to a business’s customers. Able to retrieve, process, and analyse large amounts of data. Designing and maintaining data systems and databases includes data related problems.

Roles and Responsibilities

  • Interpret data, analyse results using statistical techniques and provide ongoing reports.
  • Deep analysis of data and then determining the best way to represent it visually to managers and stakeholders.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets.
  • Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data.

Desired Candidate Profile

  • Proven experience as a Data Analyst or Business Analyst
  • Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics.
  • Proven analytic skills, including mining, evaluation, analysis, and visualization.
  • Strong analytical skills, including mining, evaluation, analysis, and visualisation with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.

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2. Sr Data Scientist

Job description

A data scientist interprets the raw data and extracts valuable meaning out of it. They then use this information to find patterns and develop solutions that an organization needs to grow and compete. 

Roles & Responsibilities

  • We are looking for someone who would be responsible for analysing data, data cleansing, data preparation and exploratory data analysis.
  • As a Data Scientist your responsibilities will include understanding the business problem and experimenting with different modelling architectures to create the best possible setup from model performance as well as computational performance.
  • To do this job successfully, you need exceptional skills in Machine Learning Algorithms.
  • Your goal will be to find the best data-based solution for the problem at hand.
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

Desired Candidate Profile

  • Proven experience as a Data Scientist or similar role
  • Strong in SQL, Python, Tableau & Power BI skills
  • Should have familiarity with Machine Learning Models and deployment.
  • Should have strong mathematical background & analytical bent of mind
  • Strong Problem-Solving Ability
  • Ability to communicate well in a highly collaborative team environment, consisting of both technical and non-technical personnel
  • Reliable self-starter that can work with a high degree of autonomy
  • Should be any graduate or postgraduate.

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3. Machine Learning Engineer

Job description

We are looking for capable machine learning engineer to optimize our machine learning systems, evaluating existing processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software’s predictive automation capabilities.

Roles & Responsibilities

  • Consulting with managers to determine and refine machine learning objectives.
  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Running tests, performing statistical analysis, and interpreting test results.
  • Documenting machine learning processes.

Requirements

  • Bachelor’s degree in computer science, data science, mathematics, or a related field.
  • Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
  • At least two years’ experience as a machine learning engineer.
  • Advanced proficiency with Python, Java, and R code writing.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.

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4. AI Expert

Job description

We are looking for an Artificial Intelligence to develop programs that solve client issues and enhance the work easier, will be using deep learning, NLP, chatbots, etc. to stimulate business growth with innovative ideas. Able to use the potential of Artificial Intelligence and help the organization to achieve its goals.

Responsibilities

  • Formulate Artificial Intelligence strategies.
  • Supervise research and development processes and other processes to make sure they fulfil the needs of AI strategies.
  • Recognize the company’s goals and the challenges faced by potential clients.
  • Figure out the ways in which Artificial intelligence can be used to solve issues faced by clients and enhance user experience.
  • Collaborate with cross-functional teams to analyse the partner’s business and main areas where the application of AI can stimulate business growth.
  • Manage the AI team to perform tasks like the assessment of AI, automation market, etc.
  • Perform tests before the delivery final application.
  • Analyse the final project, give feedback, determine areas of improvement, and help the project team to make necessary changes.

Requirements

  • Bachelor’s degree in Computer Science or other related courses.
  • Proven experience in Artificial Intelligence, deep learning, and other relevant fields.
  • Familiarity with functional design principles, object-oriented programming principles, basic algorithms.

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