Best practices for hiring data science teams

Best practices for hiring data science teams

February 21, 2019 DATAcated Challenge 0

First, I have to mention one line from ‘the Rime of the Ancient Mariner’ poem, where Samuel Taylor Coleridge beautiful wrote the lines

Water, water, everywhere, 

But not a drop to drink.

Now, we are seeing the same situation in the case of Data Science. Data Science is everywhere, but we could not find skilled manpower or experts in this area. The HR team having a hard time to select or find a suitable person for the same. Despite being surrounded by Big data analytics courses and training; we could not get any benefit from it to find a suitable candidate. However, we recommend to HR teams to at least go through my recommendations.


As we are aware as a recruitment or hiring personnel that Data Science is undeniably and undoubtedly is one of the most sought after skill in today’s world. It focuses on developing new insights and understanding of business performance based on data science techniques. It makes extensive use of data, statistical and quantitative analysis.

For hiring data science teams, we have to consider these following factors from each individual especially team leader that they should have two separate qualities.

  1. Technical Skills
    1. Programming languages like R and Python
    2. Analytics tools like SPSS, Tableau, SAS
    3. Another tool: Hadoop, Spark, Matlab
    4. Mathematical and Statistical Ability
  1. Non-Technical Skills
    1. Communication
    2. Creativity and Analysis
    3. Inquiry Skills
    4. Engineering-Design Thinking.
    5. Critical Thinking.
    6. Collaboration.

Apart from the above skills, we go to find a different skill set as I mention in this Table.

Soft Skills

Soft Skills Data Analytics Skills Tools & Technologies Technologies Skills
·   Active Learning

·   Business Analytics

·   Business Intelligence

·   Coding / Programming

·   Collaboration

·   Communication

·   Creative and Critical Thinking

·   Generating Hypotheses

·   Interpersonal Skills

·   Judgement

·   Organization Network Analysis

·   Perceptiveness

·   Problem Solving

·   Software Engineering

·   Big Data

·   Data Analysis

·   Data Architecture

·   Data Governance Policies

·   Data Intuition

·   Data Maturity Model

·   Data Mining

·   Data Modeling

·   Data Presentation

·   Data Quality

·   Data Science

·   Data Security

·   Data Visualization

·   Data Warehousing

·   Data Wrangling

·   Hadoop

·   MOOCs

·   MS Power BI

·   NoSQL

·   Python Programming

·   QlikView

·   R Programming

·   SAP

·   SAS

·   SPSS

·   SQL

·   Stata

·   Tableau

·   VB

·   Open Source

·   LaTeX

·   Ability to Link Data Across Programs and Platforms

·   Alternate Data Collection Approaches (Beyond Typical Survey)

·   Blockchain

·   Comparative Trend Analysis

·   Content Analysis

·   Customer Analytics

·   Deep Learning

·   Sentiment Analysis

·   Text Mining

·   Virtual Reality

·   Analysis and Design

Technical Skills

Industry Knowledge Maths & Stats Skills Additional Skills Other Skills
·   Start-ups

·   Automobile

·   Banking & Financial Services

·   E-Commerce

·   Education

·   Energy and Utilities

·   Environment

·   Healthcare

·   Oil and Gas

·   Retail

·   Social Media

·   Telecom

·   Travel Industry

·   Differential Calculus

·   Forecasting and Predictive Analysis

·   Linear Algebra

·   Mathematical Modeling

·   Probability

·   Qualitative Analysis

·   Quantitative Analysis

·   Risk Analysis

·   Statistical Analysis

·   Statistical Learning

·   Statistical Modeling

·   Statistics Sampling

·   Capability of Team to Turn Data into Usable Insights

·   Common Data Definitions

·   Decision Making Process

·   Human Resources and Business Data Integration

·   Management Support and Organization Structure

·   Systematic Methodology

·   Transparency in how Data will be used

·   Strategic and Planning Research Advisory

·   Applications: ArcGIS, Maximo, AutoCAD

·   Database: Oracle, SQL, Access, FoxPro, Dbase

·   Familiarity: MS Office, MS Project, Visio

·   Networking: Novell, Windows, and Linus

·   Programming: C, C++, VC++, RPG/III, Dbase, Cobol, & Pascal

·   Tools: MS-Query, Rumba/400, Q&E, Crystal Reports, SourceSafe

By: Dr. Mohammed Khursheed Akhtar


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