Data Scientist

• Skills needed: Data Science expertise with proficiency in Python and R languages; experience with machine learning algorithms such as regression analysis, clustering, classification. Familiarity with big data technologies like Hadoop/Spark is a plus. Experience working on large datasets or handling complex analytical tasks preferred but not mandatory for entry-level positions. • Years of experience: 2+ years in Data Science roles; at least one year preferably within the last two years, with relevant industry exposure such as finance/banking beneficial. Experience working on large datasets or handling complex analytical tasks preferred but not mandatory for entry-level positions. • Education: Bachelor's degree required (Master’in Data Science is a plus). A strong foundation in statistics and mathematics, including calculus, linear algebra, probability theory, etc., would be beneficial; knowledge of SQL/NoSQL databases can also enhance your application. Experience with big data technologies like Hadoop or Spark preferred but not mandatory for entry-level positions. • Certifications: Not explicitly stated in the job posting. However, certification from recognized institutions such as Coursera's Specialization on Machine Learning and Data Science (or similar) can enhance your application; knowledge of big data technologies like Hadoop or Spark preferred but not mandatory for entry-level positions. • Must-haves: Experience with machine learning algorithms, proficiency in Python/R languages, familiarity with SQL/NoSQL databases and experience working on large datasets are must-haves; knowledge of big data technologies like Hadoop or Spark preferred but not mandatory for entry-level positions.