Intermediate Data Analyst Immediate Joinee only

1 week ago

Surat, Gujarat, India August Infotech Full time
This is a remoteposition.
Atypical day of an Intermediate Data Science at AugustInfotech

Asan Intermediate your typical day wouldneed:
The dayusually starts with checking emails messages and any urgentnotifications. The data scientist might plan their day review theprogress of ongoing projects and prioritize tasks for theday.

Tocollaborate with crossfunctional teams including other datascientists analysts engineers product managers and stakeholders.
They might participate in meetings to discuss project progress datarequirements and futurestrategies.

To write andreview code regularly. They might be involved in coding tasksrelated to data preprocessing model development or creating scriptsfor automating repetitivetasks.

To evaluatethe performance of their machine learning models. They conductvalidation tests and finetune the models to improve their accuracyand generalizationcapabilities.

>TechnicalResponsibilities

DataAnalysis andPreprocessing

MachineLearning ModelDevelopment

StatisticalModeling

DataVisualization

CollaborationandCommunication

DataIntegration andEngineering

ModelDeployment andMonitoring

ContinuousLearning

>ManagementResponsibilities

Manageteam

Decide teamfor theproject

ManageWorkload

Technicalcoaching andmentoring

RaisingHiring and recruitmentneeds

Mentorjunior members of the team and participate in code reviews to helpthem grow inside theteam.

JointResponsibilities withSenior

Projectspecificationdocument

ProjectArchitecture

WeeklyProjectMeetings

You will bereporting to the TeamLead

Meaningfullycontribute to agile ceremonies including grooming planning scrumsretrospectives.

Over time webuild out insights and knowledge of the industries that we workin.

AboutAugust


Byleveraging usercentric thinking design capabilities newtechnologies and cloud solutions we empower our clients and allowthem to rethink how they connect with their customers across everyplatform every device and every step of the customer journey.

Aspart of an endtoend delivery our Technical team builds compellingdigital experiences with a focus on channels such as the web andmobile.


As anIntermediate Data Science you will havea:
Bachelors orMasters degree in Computer Science Statistics Mathematics or arelatedfield.

Minimum of23 years of handson experience in data science machine learning andstatisticalmodeling.

Experienceleading a team working with others to solve problems sharingknowledge and can help grow and mentor juniordevelopers;

A passionfor digital transformation andtechnology;

Experiencein agile development environments including ceremonies such asbacklog refinement and sprintplanning;

You can workindependently as well as in a highly collaborativeteamsetting;

You balancelogical problem solving with innovativethinking;

You likebuilding positive client and peer relationships by developing anunderstanding of customers business and project scope and cantranslate business requirements into technicalrequirements;

You cancontribute positively to team culture with a focus on inclusion anddiversity;

Identifyingpotential opportunities for additional revenuegeneration;

Developinganalytical and insightful recommendations to meet deliverabletargets and complete project tasks within budget and to customersatisfaction;

Identifyingcommunicating and solving conflicts or issues toTeam;

Assisting inthe development of clientproposals;

Strongwritten and verbal communication and presentation skills(English)

Requirements

Strong proficiency in programminglanguages such as Python or R for data manipulation andanalysis.

Indepth knowledge ofvarious machine learning algorithms including supervised andunsupervisedtechniques.

Experiencewith data visualization libraries and tools such as MatplotlibSeaborn or Tableau.

Solidunderstanding of statistical concepts and their application in dataanalysis and modeling.

Familiaritywith big data frameworks like Hadoop and Spark is aplus.

Strong problemsolvingskills and the ability to approach business challenges with adatadriven mindset.

Excellentcommunication skills to present findings and insights to technicaland nontechnicalaudiences.

Proven track record ofdelivering datadriven solutions that positively impact businessoutcomes.

Experience with deeplearning frameworks such as TensorFlow orPyTorch.

Knowledge of natural languageprocessing (NLP) techniques andapplications.

Benefits

5 Days WorkingTechnical GrowthPermanent RemoteMonthly Performance ReviewTechnical Requirements - Data Science -Artificial Intelligence - Machine Learning - DeepLearning

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