Data Scientist

5 months ago


Pune, India NR Consulting - India Full time

**Experience: 4 to 7 Yrs**

**Location: Pune**

**Statistics and Client is a must and NLP and computer vision is good to have.**

**ESSENTIAL DUTIES AND RESPONSIBILITIES**:

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner

**ESSENTIAL SKILLS**:

- A Master's degree or PhD degree in applied mathematics or statistics, Computer Science, Information Technology and alike
- At least 5 years' of proven experience as a Data Analyst or Data Scientist.
- Programming Skills knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
- Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
- Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
- Machine Learning good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
- Data Wrangling proficiency in handling imperfections in data is an important aspect of a data scientist job description.
- Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
- Excellent Communication Skills it is incredibly important to describe findings to a technical and non-technical audience.
- Strong Software Engineering Background
- Hands-on experience with data science tools
- Problem-solving aptitude
- Analytical mind and great business sense
- Degree in Computer Science, Engineering or relevant field is preferred


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