Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Navigating Challenges: How Data Scientists Balance Code and Management

Authors: Sonika Koganti, Siddhartha Nuthakki;

Navigating Challenges: How Data Scientists Balance Code and Management

Abstract

Abstract In the ever emerging technological advancement and for the fact that the technological world is expanding at a very fast pace, the position of a Technical Lead also known as Tech Lead is equally as complex in the way that they weave the three dimensions of technology as stated by (1, 2) management and leadership in one intricate manner as stated by (3, 4). In addition to starting the software creation process (5), Tech Leads are also faced with organizational challenges constituent of dealing with others (6, 7). This dual role means that they have to code in order to maintain their integrity while at the same time supervise plans (8), convene with other stakeholders, and manage training (9). These challenges are even magnified by what is referred to as agile methodologies where a lot of changes are needed due to other emerging needs and also managing of other many cycles of development (3, 10). First of all, the most efficient Tech Leads manage to set and achieve technical goals connected with the development of IT systems and organizational goals, which are inalienable parts of IT systems development (11), such as code optimization and architectural decision-making (12), the organization of the working schedule and distribution of the resources, which do influence a team’s success and their integration into the project (7, 11).

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!