Capillary Recruitment 2023 | Data Science Associate | Fresher

Capillary Recruitment 2023 – Capillary Drive is currently conducting recruitment for candidates from the 2020, 2021, 2022, and 2023 graduating batches. Individuals holding a bachelor’s degree in any field are welcome to submit their applications for the recruitment process. If you have an interest in this opportunity, please ensure to apply at your earliest convenience.

Capillary Recruitment 2023
Capillary Recruitment 2023 Details
Company NameCapillary
Company Websitewww.capillary.com
DesignationData Science Associate
EligibilityB.E/B.Tech/B.Sc
Job LocationBangalore
SalaryBest In Industry
Job Responsibilities

The associate’s primary role involves aiding the data science department in uncovering valuable insights, constructing predictive models, and formulating practical suggestions based on intricate data collections. Collaborative efforts with senior data scientists, data engineers, and various stakeholders will be crucial in enhancing data-centric decision-making procedures.

Requirements
  1. Hold a bachelor’s degree in a related area (e.g., Computer Science, Statistics, Data Science).
  2. Possess proficiency in programming languages like Python or R.
  3. Display a fundamental grasp of machine learning algorithms and statistical concepts.
  4. Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
  5. Demonstrate strong aptitude for problem-solving and meticulousness.
  6. Exhibit effective communication and teamwork skills.
Job Requirements
  1. Proficiency in Programming Languages (Python/R): Mastery of programming languages such as Python or R is imperative for data manipulation, analysis, and model creation. These languages provide the necessary tools and libraries for diverse data science tasks.
  2. Data Cleaning and Analysis Proficiency: The capacity to cleanse, preprocess, and scrutinize data forms the foundation of data science. Proficiency in Exploratory Data Analysis (EDA) aids in the discovery of valuable insights and patterns that steer decision-making.
  3. Machine Learning Acumen: A comprehensive understanding of machine learning concepts, algorithms, and methodologies is indispensable for crafting predictive models and shaping data-oriented decisions.
  4. Competence in Data Visualization: Proficiency in data visualization equips you to articulate intricate findings in a lucid and comprehensible manner, thereby facilitating enhanced comprehension and decision-making.
  5. Strong Problem-Solving and Analytical Abilities: Robust problem-solving skills enable you to systematically tackle challenges, construct hypotheses, design experiments, and draw substantial conclusions from data.

Apply Now

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