Data Science Consultant Resume Samples

A Data Science Consultant is an expert in data analysis, modeling, and programming who helps organizations make data-driven decisions. They are responsible for providing insights and recommendations to clients based on their research and analysis. The duties and description listed on the Data Science Consultant Resume include collecting and analyzing data from various sources, developing and evaluating models, creating data visualizations, identifying trends and patterns in the data, assessing data quality, and building predictive models, gathering and analyzing data from different sources, modeling data, and providing recommendations based on the analysis.

The Data Science Consultant should have strong knowledge of data science, machine learning, and data analysis tools and technologies. To be a Data Science Consultant, one must have a strong understanding of data analysis and programming, as well as a background in mathematics, statistics, and computer science. Additionally, they must have experience in working with databases, spreadsheets, and data visualization tools. A degree in Data Science or a related field is often required for this role. In addition, experience with programming languages such as Python, R, and SQL is also essential.

Data Science Consultant Resume example

Associate Data Science Consultant Resume

Summary : As an Associate Data Science Consultant, worked on key projects for leading organizations in data mining knowledge Discovery, predictive modeling, trend modeling, and Simulation models (Monte Carlo), Reviewed credit rating and scoring models and quant support to the business and R&D projects.

Skills : Statistical analysis, Machine learning.

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Description :

  1. Partnered with data science consultants to help gather clients business and information needs.
  2. Translated business problems into data science problems and work with the consulting team to develop appropriate models and solutions.
  3. Identified, analyzed, and interpreted trends or patterns in complex data. Built machine learning and AI models using standard and state-of-the-art techniques such as natural language processing and model explainability.
  4. Presented information using data visualization techniques and tools
  5. Developed reports and presentations to communicate findings and recommendations.
  6. Built and developed dashboards in business intelligence tools like PowerBI and Tableau.
  7. Continued to grow your knowledge of data science tools, platforms, and processes.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Consultant
Education
Education
Bachelor's In Statistics


Assistant Data Science Consultant Resume

Objective : As an Assistant Data Science Consultant led a team and acted as an independent contributor to a team of consultants, potentially including other data scientists, across different consulting projects. Designed and drove the creation of new data products and analytical capabilities embedded in multiple business applications, and helped customers understand how to integrate the solutions into their processes and ensure the effectiveness of the models in production.

Skills : Python, R.

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Description :

  1. Contributed to Pandatas internal innovation through rapid prototyping and building demos.
  2. Demonstrated an appreciation for and ability to build strong relationships with key stakeholders, decision-makers, and influencers - cultivating these relationships along the way.
  3. Added value to clients beyond problem-solving by exploring opportunities to improve their day-to-day operations, turning short-term SOWs into long-term, collaborative relationships.
  4. Explained sophisticated data science concepts in an approachable manner and Tracked a record of bridging the gap between business problems and analytics.
  5. Experienced leveraging data analysis to construct compelling narratives and Familiared with AWS/cloud development and solutions architecture. 
  6. Extracted features from data stored in a wide range of possible formats, including JSON, XML, raw text logs, industry-specific encodings, and graph link data. 
  7. Executed data science methods using parallel computing frameworks (e.g., deeplearning4j, Torch, Tensor Flow, and distributed data processing frameworks (e.g. Hadoop and Spark). 
Years of Experience
Experience
0-2 Years
Experience Level
Level
Entry Level
Education
Education
Bachelor's In Statistics


Junior Data Science Consultant Resume

Objective : As a Junior Data Science Consultant, Worked hands-on where needed using SQL, Python, Java, and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology. Followed best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own.

Skills : SQL, Data visualization.

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Description :

  1. Familiared with and experience developing in Govt cloud environments (C2S, ICGC), Custom Application Development Windows, and Admin/Scripting. 
  2. Familiared with Relational Databases and Querying languages (SQL. CAML). Comfortable with Agile Methodology / SCRUM development, JIRA, and Confluence. 
  3. Experienced with graph databases a plus and Experienced with statistical methodologies a plus.
  4. Created Support for external and internal clients with diverse backgrounds, including health systems and life science companies, with expertise in attaining value from real-world datasets through cloud-based environments and tools.
  5. Created and supported strategies to develop and internalize data assets for key internal and external stakeholders.
  6. Worked with a team of experienced healthcare data analysts and Collaborated and worked effectively across a large matrix organization.
  7. Created and understood business requirements and convert them into solution requirements.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Junior
Education
Education
Bachelor's In Statistics

Senior Data Science Consultant Resume

Summary : As a Senior Data Science Consultant, designed the research plans used in data gathering and analysis. Participated in interpreting data analyses and developed action plans accordingly and assist in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing, and reporting data. Created and implemented strategies to optimize the data systems and technology in use. Evaluated processes and technology and create detailed reports.

Skills : Communication, Problem-solving.

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Description :

  1. Provided scientific and technical guidance on best practices, including standardized workflows, SOPs, and related documentation, for real-world data utilization across multiple domains and stakeholder groups over a range of therapeutic areas and diseases state.
  2. Determined goals and priorities w/ team, clients, or project management sponsors (when appropriate).
  3. Worked closely with Data Science team members to assist with exploratory data analysis, model development, and tuning.
  4. Built and maintained complex statistical routines using macros, vendor software, and software written by self and others.
  5. Monitored and telemetry for predictive maintenance, adaptive control, and tool design optimization.
  6. Analyzed data from customer interactions to assess campaign effectiveness and reveal actionable insights related to sales and marketing strategies.
  7. Performed research about their clients, such as their target audience or financial statistics, or topics that can affect their clients, including market conditions or competitor data.
Years of Experience
Experience
10+ Years
Experience Level
Level
Senior
Education
Education
Bachelor's In Mathematics

Data Science Consultant Resume

Summary : As a Data Science Consultant, experienced with building models in any or more of the following: Demand Forecasting, Inventory Management, Marketing Mix Optimization, Marketing and Advertising Attribution, Predictive Maintenance, Propensity Modeling, Human Capital Analytics, Finance Analytics, and Simulation, Fraud and Anomaly Detection, Customer Service Analytics, Geospatial Processing.

Skills : Project Management, Big Data.

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Description :

  1. Developed and implemented data processing, including data curation and normalization.
  2. Performed ad-hoc analysis and presented results and insights in a clear manner.
  3. Assisted the organization in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing, and reporting data.
  4. Built dashboards and customizable reports for management as specified by clients and team members.
  5. Delivered a broad range of Data Science, Machine Learning, and Artificial Intelligence engagements in a variety of areas such as supervised and unsupervised machine learning, natural language processing, and optimization
  6. Collaborated with other data science teams, and business partners across business units and recommend employee experience/service improvements across the enterprise.
  7. Owned and ran the agile backlog for data science analytical activity and Led Data Science team to successful delivery.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Consultant
Education
Education
Bachelor's In Mathematics

Data Science Consultant Resume

Objective : As a Data Science Consultant, experienced working in cloud platforms (Azure, AWS, GCP) and data science environments (Jupyter, Anaconda, Databricks, Sagemaker, Azure ML, Vertex AI) with version management tools (Git, DVC). Experienced with exploratory data analysis and associated toolkits (ggplot, seaborn, matplotlib).

Skills : Structured Thinking, Certified Analytics Professional.

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Description :

  1. Conducted data analysis using advanced skills in statistics and database management.
  2. Promoted new techniques and approaches and continuously review and adapt external developments.
  3. Acted as an internal enablement resource for client-facing sales and presales resources, Marketing resources.
  4. Participated in the implementation of and use of leading-edge data warehouse / big data technologies including software, end-user tools, and other data services.
  5. Led cross-functional efforts or work independently with minimal supervision, proactive and expressed leadership in analytical innovation and problem-solving techniques.
  6. Evolved the approach for the application of machine learning to existing program and project disciplines.
  7. Led solution scoping and definition for data science engagements and Guided, mentored, and grew data science consultants.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor's In Mathematics

Data Science Consultant Resume

Headline : As a Data Science Consultant, worked with a team of data engineers and SMEs to test and refine quantitative models at the POC level, and scale for the population with stakeholder sign-offs. Collaboratively identified and defined appropriate data for analysis.

Skills : Planning, Consultant.

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Description :

  1. Performed Data investigations to determine the root cause of data quality issues as well answer questions about data and/or data trends.
  2. Worked individually or with teams to develop utilities to prevent, identify, and remediate data issues.
  3. Proactively partnered with business resources to understand business needs for data and translate those needs into reports, extracts, and data analysis deliverables.
  4. Used advanced statistical techniques to provide a deeper understanding of customer profiles, behavior, and actions.
  5. Delivered key data-driven insights ad recommend actions and Supervised the development of advanced analytics and statistical models to support functional and industry applications.
  6. Visualized the analytics outputs in an appealing & simple manner via dashboards, and presentations.
  7. Experienced in analytics, business intelligence, and big data and Assisted with the mentorship and development of consultants.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelor's In Mathematics

Data Science Consultant Resume

Summary : As a Data Science Consultant, assisted customers by building ML / DL projects, including understanding the business need, aggregating data, exploring data, building validating predictive models, and deploying completed models to deliver business impact to the organization. Used Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models.

Skills : Planning, Research.

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Description :

  1. Worked independently to research and analyzed but also interact with other analysts within the department and other functional areas of the company.
  2. Made observations and defines problem statements and trusted to take necessary action in resolving.
  3. Blended quantitative and qualitative analyses efficiently Filtered information and made presentations based on analysis.
  4. Built networks and partnerships, and influence others. Negotiates outcomes.
  5. Collaborated with business and IT teams to understand the challenges and deliver business insights and reporting solutions.
  6. Built relationship models for dashboards and reports using large data and Adepted at working with large data sets.
  7. Established scalable, effective, automated processes for dashboards, data validation, model implementation, and large-scale data analysis.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Consultant
Education
Education
Bachelor's in Mathematics

Data Science Consultant Resume

Objective : As a Data Science Consultant, defined the capability for a universal analytical platform within DLG. Performed complex, advanced analysis of the associated product lines/models. Through researched, identified, and proposed changes/improvements to product offerings. Independently managed low to moderate-complexity projects. Recommended and executed resolutions or process improvements.

Skills : Data Science Assistant, Planning.

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Description :

  1. Supported the development of new AI-based software solutions and products.
  2. Provided Subject Matter Expertise on a range of analyses including descriptive, predictive, or prescriptive use cases.
  3. Interacted with other functional specialists in a professional manner and respond quickly to requests.
  4. Trained and supervised Junior Data Scientists and Developed collateral for analytical based solutions.
  5. Wrote up and deliver results in formal client presentations and Researched and bring innovations to develop next-generation solutions in core functional areas related to digital marketing & customer experience solution blocks - Content and Commerce, AdTech, Customer Relationship Management (CRM), and Campaign Management.
  6. Applied such knowledge validation, aggregation, and reconciliation techniques to create a rich modeling-ready data framework.
  7. Understood the customers business need and build a solution using our AWS AI Services, Platforms, Frameworks, and AWS AI EC2 Instances.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor's In Statistics

Data Science Consultant Resume

Summary : As a Data Science Consultant, performed and developed statistical models and improve model performance and flexibility. Worked with offshore consultants. Experienced in statistical software, scripting languages, and packages. Experienced in visualization tools like Tableau.

Skills : Developmental Skills, Team Work.

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Description :

  1. Worked across business & technology teams to design and develop innovative data science models and algorithms.
  2. Explored, and analyzed data using statistical techniques and data visualizations to discover insights for process optimization, improvement of products, marketing strategies, and a host of other business and industrial applications.
  3. Collaborated with engineering teams to deliver end-to-end machine learning solutions for our clients.
  4. Collaborated with platform teams and solution architects to evolve big data platforms and evaluate various data science technologies and services.
  5. Delivered production-grade, machine-learning solutions, built with automated, repeatable processes.
  6. Clearly articulated highly technical methods and results to diverse audiences and partners to drive decision-making.
  7. Collaborated with cross-functional teams including Data Engineers, DevOps Engineers, and ML Engineers to deliver end-to-end solutions.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Consultant
Education
Education
Bachelor's In Statistics