Data Scientist
2 months ago
Introduction:Join DataCouch where data drives our core strategic decisions. As aData Scientist you will harness advanced analytics to solve complexchallenges and propel business success. We seek a talentedindividual eager to use their expertise in machine learning dataanalysis and predictive modeling to make a significantimpact.
Responsibilities:
Developtrain and implement predictive models and algorithms to drivebusinesssolutions.
Analyzecomplex data sets to identify trends patterns and insights that caninfluence businessdecisions.
Performdata mining to discover data patterns andtrends.
Developand maintain advanced reporting analytics dashboards and other BIsolutions.
Collaboratewith stakeholders to gather requirements and deliver reports andanalyses that meet businessneeds.
Providesupport for analytics initiatives by cleaning and structuring dataappropriately.
Stayupdated with industry trends and advancements in data analytics andvisualizationtechnologies.
Collaboratewith crossfunctional teams to understand business needs and providedatadrivensolutions.
Evaluatemodel performance and iteratively improve on existingmethodologies.
Documentand present model processes insights and recommendations tostakeholders.
Requirements
EducationalBackground:
Bachelorsand Master s degrees in Data Science Computer Science Statistics ora relatedfield.
TechnicalSkills:
Proficientin Python and familiar with key data science libraries (PandasScikitLearn TensorFlow orPyTorch).
Strongunderstanding of all complex machine learning algorithms notlimited to decision trees random forests and gradient boostingmachines.
Competencein data preprocessing cleaning andanalysis.
Familiaritywith data cleaning transformation and preprocessingtechniques.
Experiencewith SQL and possibly some NoSQL databases for data querying andmanipulation.
Basicknowledge of data visualization tools like Matplotlib andSeaborn.
Strongskills in SQL for data extraction and the ability to work withcomplex databasesystems.
Advancedknowledge of analytical tools and software such as Excel Tableau ormore specialized software depending on the industry (e.g. SASSPSS).
Experiencewith data visualization and the ability to create interactivedashboards.
Vastknowledge of NLP Deep Learning Machine Learning Knowledge of genAIwith implementation knowledge (LLM fine tuning RAG implementation)and manymore.
Familiaritywith cloud services (AWS Azure Google Cloud) for data processingandstorage..
ProfessionalExperience:
23years of experience in a data science or relatedrole.
Proventrack record of developing and deploying machine learning models tosolve businessproblems.
Experiencein projects that involve complex data structures and largescaledatasets.
Exposureto model validation and implementation in a productionenvironment.
Demonstratedexperience in analyzing large datasets and delivering actionableinsights.
Proventrack record of effectively communicating findings to help informbusinessdecisions.
Experiencein performing statistical analysis forecasting and establishingdata structures that optimize analyticalcapabilities.
Strongproblemsolving skills with a capability to work through complexissues using a logical and analyticalapproach.
Goodcommunication skills to effectively articulate insights andtechnical details to nontechnicalstakeholders.
Abilityto work collaboratively in team settings and manage projecttimelineseffectively.
Strongattention to detail with the capability to work on multipleprojectssimultaneously.
Effectivecommunication skills capable of presenting complex information inan understandable and compellingmanner.
Collaborationskills to work effectively with both technical teams and businessunits.
Benefits
- PerformanceBonuses: Additional 10% to 20% of the base salary basedonperformance.
- AdditionalPerks: Health insurance professional developmentopportunities flexible workinghours.
- Workwith a globally recognized team on cuttingedge AI/MLprojects.
- Bea part of a culture that values curiosity continuous learning andimpact.
- Opportunityto collaborate with Fortune 500 clients and industryleaders.
- Growyour career by becoming an instructor and sharing your knowledgeworldwide.
Joinus in driving the future of AI and DataScience
EducationalBackground: Bachelor's and Master s degrees in Data Science,Computer Science, Statistics, or a related field. Technical Skills:Proficient in Python and familiar with key data science libraries(Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strongunderstanding of all complex machine learning algorithms notlimited to decision trees, random forests, and gradient boostingmachines. Competence in data preprocessing, cleaning, and analysis.Familiarity with data cleaning, transformation, and preprocessingtechniques. Experience with SQL and possibly some NoSQL databasesfor data querying and manipulation. Basic knowledge of datavisualization tools like Matplotlib and Seaborn. Strong skills inSQL for data extraction, and the ability to work with complexdatabase systems. Advanced knowledge of analytical tools andsoftware such as Excel, Tableau, or more specialized softwaredepending on the industry (e.g., SAS, SPSS). Experience with datavisualization and the ability to create interactive dashboards.Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledgeof genAI with implementation knowledge (LLM, fine tuning RAGimplementation) and many more. Familiarity with cloud services(AWS, Azure, Google Cloud) for data processing and storage..Professional Experience: 2-3 years of experience in a data scienceor related role. Proven track record of developing and deployingmachine learning models to solve business problems. Experience inprojects that involve complex data structures and large-scaledatasets. Exposure to model validation and implementation in aproduction environment. Demonstrated experience in analyzing largedatasets and delivering actionable insights. Proven track record ofeffectively communicating findings to help inform businessdecisions. Experience in performing statistical analysis,forecasting, and establishing data structures that optimizeanalytical capabilities. Soft Skills: Strong problem-solving skillswith a capability to work through complex issues using a logicaland analytical approach. Good communication skills to effectivelyarticulate insights and technical details to non-technicalstakeholders. Ability to work collaboratively in team settings andmanage project timelines effectively. Strong attention to detailwith the capability to work on multiple projects simultaneously.Effective communication skills, capable of presenting complexinformation in an understandable and compelling manner.Collaboration skills to work effectively with both technical teamsand business units.
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