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Data Scientist Job Description: Top Duties and Requirements

A Data Scientist is responsible for collecting, analyzing, and interpreting data sets for a company to provide data-driven solutions for business decisions. The duties of Data Scientists include developing custom data models, visualizations, and algorithms to interpret data, assessing the accuracy of new data and data-gathering strategies, and implementing and developing tools to monitor and analyze data accuracy and performance.

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Data Scientist duties and responsibilities

Data Scientists handle many aspects of a company’s data, and they work with many teams and individuals within an organization. Key responsibilities of a Data Scientist may include:

  • Mining and analyzing data from company databases to improve marketing, product development, or overall business strategies
  • Using predictive modeling to optimize revenue growth, marketing campaigns, and customer experiences
  • Developing A/B testing campaign frameworks and testing model quality
  • Communicating and coordinating with teams to implement data-driven strategies while measuring progress
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Data Scientist Job Description Examples:

Example 1

Role

  • Understands business problems and designs end to end analytics use cases
  • Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, maximizing profit, etc.
  • Conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
  • Can objectively weigh trade-offs of different algorithms and model.
  • Guide data engineering efforts to ensure alignment with future data science needs
  • Perform deep dives across various system inputs/outputs and connect to key performance indicators
  • Collaborate with engineers to implement and deploy scalable solutions
  • Provides thought leadership by researching best practices, conducting experiments and collaborating with industry leaders
  • Acts as a change agent

    Technical Expertise

  • MS/Phd in computer science, statistics, economics, mathematics, ops research or related technical discipline
  • 5-10 years of data scientist role
  • Deep knowledge of machine learning, statistics, optimization or related field
  • Experience with python, sql, spark, pandas, numpy, scipy, statsmodels, stan, pymc3, caret, scikit-learn, keras, tensorflow, pytorch.
  • Background in programming in c, c++, java experience with is beneficial.
  • Experience with mlopsand working with large data sets including (map/reduce, hadoop, hive, spark,)

    Agile experience

  • Experience working in ai startup environment or organizations with an agile culture
  • Professional attitude and service orientation; superb team player

    Individual skills

  • Good written and verbal communication skills along with strong desire to work in cross-functional teams
  • Mindset & behaviours
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace; collaborative
  • Attitude to thrive in a fun, fast-paced, startup-like environment
  • Open minded to new approaches and learning

    Job Types: Full-time, Fixed term contract

    Schedule:
  • 8 hour shift
  • Monday to Location: Remote

    • Example 2

    Role: Data Business Analyst/Insights Analyst & Data Scientist

    Location: Toronto Area, Canada � Hybrid Model

    Duration: Full Time

    Visa Status: TN Citizen & USC & GC

    Need 10+ Years of Experience/With Passport No & LinkedIn Mandatory � Hybrid Role

    Data Scientist:

  • Provide technical expertise across a broad range of data analysis functions including data modeling, visualization, data profiling, data origin and lineage, report design, and other specialized data management functions.
  • Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization.
  • Proven experience in ML model development, proficiency with Python, PySpark and Tableau, strong SQL skills and experience working with relational databases considered an asset.

    Data Business Analyst/Insights Analyst:

  • The Business Insights Analyst is responsible for the holistic identification of Business Analytics, Reportingand Data ManagementRequirements as part of several Business Banking Programs / Projects.
  • They will work closely and take guidance from Business Bankers, Data Management Leads, and TS counterparts, while facilitating stakeholders in understanding the impact of business processes on the data, both net-new and existing.
  • The Analyst will also work together with project stakeholders to help drive several data activities, as defined by the Business BankingData in Projects Framework, including both the Enterprise Data Governance Office (EDGO) and Analytics capabilities as defined by Enterprise Data & Analytics (ED&A).
  • Knowledge of platform and data warehouse design and principles, knowledge and experience in Agile projects, Jira and confluence tools, knowledge of Cloudera Hadoop, MS Azure, SASand *OCDO Data ManagementCapabilities, SQLlanguage to carry-on daily data profiling and data quality are considered an asset.

    Please Fill The Below Details Reply Asap, With Updated Resume Along With H1B Or EAD Or *GC
  • With *DL
  • copy

    Candidate Detail:

    Full Name (as per SSN/ Passport):

    Email:

    Contact Number (Primary and Alternate :

    Current Location:

    Work Authorization and Visa Validity:

    Last 4 Digits Of SSN

    Currently on a Project:

    Onsite availability (Post-Selection)

    Willing To Relocate:

    LinkedIn ID :

    Year of Bachelor�s & Education Branch, University Name

    Year of Master�s & Education University Name

    Passport Number :

    Notice Period:

    Availability For Interview

    Paul David
    Sr. Recruiter - Talent Acquisition, SourceMantra Inc

    [website]

    E: [website]
    P: [phone number]; Ext: 241

    Job Type: Full-time

    Salary: $110,000.00-$120,000.00 per year

    Benefits:
  • Dental care
    Schedule:
  • 8 hour shift



    Ability to commute/relocate:
  • Toronto, ON M8V 3E7: reliably commute or plan to relocate before starting work (required)

    Experience:
  • Data Scientist & Insights Analyst: 10 years (preferred)
  • ML Model Development: 4 years (preferred)
  • Data Modeling: 4 years (preferred)
  • Python & Pyspark: 5 years (preferred)
  • Tableau & SQL: 5 years (preferred)
  • Data Management: 3 years (preferred)
  • Business Banking: 3 years (preferred)
  • Enterprise Data & Analytics: 3 years (preferred)
  • Cloudera Hadoop, MS Azure, SAS: 1 year (preferred)
  • OCDO Data Management: 2 years (preferred)
  • Data Analytics Business Analyst: 10 years (preferred)


    Work Location: Hybrid remote in Toronto, ON M8V deadline: 2023-08-17

    • Example 3

    About Larus

    Larus Technologies Corporation ([website]) is an Ottawa-based software product and research company with capabilities in developing intelligent systems and engineering simulations for defence, security and commercial applications. Larus has three core business areas: Data Analytics and Fusion Solutions, including the Total::Insight� Decision Support System, the Total::Perception� Systems Simulation Engine and the Total::Vision� Video Analytics Solution, Software Engineering Services, primarily in the public security and defence sectors, and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, Data Science and Data Analytics.

    Job Description

    The position is to work on the Data Science team at Larus Technologies. The Data Science team is currently developing new and exciting end-to-end products for both the enterprise and military domains. The team applies state-of-the-art Artificial Intelligence, Machine Learning, Distributed Systems, Data Analytics, Optimization and Machine Vision techniques to practical real-time applications. The candidate should expect to apply a wide variety of production grade data science, machine learning, and analytic techniques to solve real world problems for external and internal stakeholders. The candidate is expected to learn and apply new skills and, if needed, will be supported through courses and mentoring. This is a full-time position starting immediately.

    Essential Responsibilities

    As a member of the team, your responsibilities include:

  • Meeting with internal and external stakeholders on a regular basis to understand their problems, build a theoretical framework and translate the theory to code.
  • Design and implement scalable, distributed AI/ML-based systems
  • Design, development, integration and testing of AI/ML models
  • Advocate high quality and best-practices in software design and development
  • Close interaction with other team members on system integration and validation
  • Perform data analysis, visualisation and modelling with large datasets
  • Perform data acquisition, cleaning, and transformation
  • Meeting sprint goals with the team and releasing deliverables to stakeholders and customers

    Required Skills

  • Capable of working in an agile work environment.
  • Strong object oriented programming (e.g. Python/C++/Java) experience
  • Machine Learning and Data Mining
  • Python data analysis and manipulation tools (e.g. pandas, numpy)
  • AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch)
  • Data collection, analysis and reporting
  • Source Control based systems (e.g. Git)

    Preferred Skills

  • MLOPs (e.g. Kubeflow)
  • Big Data Databases (e.g. Mongo DP, Data warehouses, NoSQL, Elasticsearch)
  • SQL Databases (e.g. SQLite)
  • Distributed Computing (e.g. Cloud, docker, kubernetes, dask)
  • Trend analysis and/or predictive modelling (e.g classification, forecasting, clustering, regression)
  • Software Unit Testing (e.g. Python unittest)
  • Continuous Integration/Continuous Deployment systems (e.g. Azure Devops)
  • Data visualisation (e.g. matplotlib, seaborn, streamlit)
  • Optimization (e.g. optuna, katib, jmetalpy, GA, optimization)
  • Algorithms and Mathematics (e.g. linear algebra, statistics, mathematical programming)

    Desired Characteristics

  • Strong desire to contribute to a rapidly growing company
  • Dynamic, proactive, self-motivated, multi-tasking, and innovative goal oriented individual
  • Proven ability to work individually and within a group
  • Ability to meet hard deadlines, plan, estimate, and prioritise work

    Education/Experience

  • University graduate degree in STEM (e.g. Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Computer Science etc.) (Master�s or Ph.D. is considered to be an asset)
  • 3+ years of direct experience in design, development, deployment, and verification of AI/ML models in production pipelines

    We know that some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies we are looking to welcome skilled individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every single qualification, we encourage you to apply anyway.

    Benefits and Work environment:

  • Comprehensive Health and Dental insurance package
  • Company-sponsored team building events
  • Development opportunities
  • Paid time off
  • Larus Technologies is currently using Hybrid and work from home environments. For additional information about location requirements, please discuss with the recruiter following submission of your application"

    Job Types: Full-time, Permanent

    Benefits:
  • Casual dress
  • Company events
  • Dental care
  • Extended health care
  • Paid time to Friday

    • Example 4

    The Data Scientist will be a part of our Technology and Market Analysis team. This role will focus on developing and applying machine learning and statistical modeling techniques to support pricing models and other insights around carbon markets. They will work closely with other key internal stakeholders, to research data science models and oversee end-to-end implementation. The Data Scientist will lead research projects to solve the ongoing challenges while mentoring and supporting other team members.

    Requirements of the Role

    *The Data Scientist will be responsible for but not limited to: *

  • Define data science projects from start to finish, identifying opportunities, defining the problem, building a proof of concept, and deploying a data product to improve marketing, product development, or overall business strategies
  • Conduct data mining on customer, product, sales, assortment data sources for insights; generate hypotheses to test for opportunities
  • Develop, monitor, and enhance analytical solutions and projects in collaboration with business stakeholders and IT professionals.
  • Apply a wide range of statistical and quantitative analysis in practical and valuable ways
  • Design custom tools to optimize data mining, cleaning, validation and analysis tasks
  • Develop tools and testing models to ensure data accuracy
  • Use predictive modeling to optimize environmental financial unit pricing forecasts
  • Program and write maintainable and well-documented scripts/applications for process automation; produce reusable machine learning pipelines while model building
  • Connect with other teams to understand the go-to-market process, product lifecycle, and product/consumer strategy
  • Create rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources; communicate results to senior leadership
  • Propose solutions and strategies to business opportunities and challenges

    *So are you our next Data Scientist? You could be if you are
  • a curious self-starter who is an insightful, results-orientated, and motivated professional with exceptional interpersonal and communication skills. You have a proven ability to conduct thorough analysis using multiple data sources, evaluate and present visual results in Tableau. The Data Scientist requires the ability to understand a concept from a broader perspective with strong problem-solving skills. You are adaptable and love working with people and teams from diverse skillsets and backgrounds, in a highly collaborative and often times remote working environment.

    Experience, Education, and Designations:

  • Academic background in Computer Science, Engineering, Math, Statistics, Research, or a related field
  • Must have experience with Tableau and/or Python
  • Strong SQL and/or Excel skills with the ability to learn other analytic tools
  • Experience in at least one of the common data science toolkits
  • Demonstrated experience applying machine learning and data mining techniques

    Knowledge, Skills, and Attributes:

  • Strong problem solving and analytical skills including mining, evaluation, analysis, and visualization through Tableau
  • Excellent written and verbal communication skills including reports and presentations
  • Strong technical attitude � ability to turn business problems into analytical solution
  • A drive to learn and master new technologies and techniques
  • Possesses an entrepreneurial spirit and continuously innovates to achieve great results
  • Ability to take on responsibilities and work with minimal supervision
  • Fosters connection by putting people first and building trusting relationships
  • Communicates with kindness and has integrity
  • Ideally understands what carbon markets are and has passion for environmental issues

    Job Types: Fixed term contract, Internship / Co-op
    Contract length: 6 months

    Salary: From $55,270.61 per year

    Benefits:
  • Casual dress
  • Company events
  • Flexible schedule
  • Paid time off
  • Wellness program
    Schedule:
  • Monday to Friday

    Application question(s):
  • Have you completed a degree or certification from an accredited institution in the last year?

    Education:
  • Bachelor's Degree (preferred)

    Work Location: Remote

    Application deadline: start date: 2022-12-01

    • Example 5

    We are hiring for Machine Learning Expert candidate for Remotelocation*. Please review the below job description and share your updated resume, if you are available and interested in a fulltime/direct hire role with our companyFareportal
  • ([website]).

    Kindly find the job specification below and let me know if you would be interested.

    *Position Title: Machine Learning Expert

    Position Type: Direct Hire/Permanent

    *Location: Remote

    Job Description

    Note:
  • Experience level should be 1- 4 years
  • Experience with Structured Data/transactional data, tabular data 50% required
  • Python coding is required
  • Machine Learning (regression, classification) experience is required

    Required skills
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python
  • Familiarity with machine learning frameworks
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • Bachelors in Computer Science, Mathematics or similar field; Master�s degree is a plus

    Preferred Skills:
  • Cloud : AWS is preferred not mandatory
  • Unstructured data (NLP/computer vision) is preferred

    Job Types: Full-time, Permanent

    Salary: $70,000.00-$110,000.00 per year

    Additional pay:
  • Bonus pay
    Benefits:
  • Dental care
  • Extended health care
  • Paid time off
  • Vision care
    Flexible language requirement:
  • French not required
    Schedule:
  • 8 hour shift

    • Example 6

    Job Description
    Super GeoAI Technology Inc. (SGA) is a fast-growing geospatial artificial intelligence (GeoAI) technology Startup company with offices in Saskatoon and Calgary. We are adding Artificial Intelligence (AI) team members immediately to our Saskatoon office. We are developing GeoAI-driven products that will significantly impact productivity in the wheat production industry and have the potential to revolutionize how wheat growers around the world manage production activities.

    Our artificial intelligence (AI) team is made up of three groups: data team responsible for data collection and AI training datasets, algorithm team responsible for developing and designing AI algorithms and AI solutions, and software developer team responsible for implementing and developing AI-driven mobile and web applications. The ideal candidates for our team are hands-on, dedicated persons who enjoy fast-paced development cycles spanning from research to production in the order of months.

    As a machine learning data scientist, you will work with our AI algorithm team members to research and develop various methods to improve and verify the quality of the data, to explore and test various methods and solutions to improve AI algorithm accuracy, and to use big data and AI technologies to solve real problems in agriculture. You will work with other AI team members to build AI-driven mobile and web applications, and to build GeoAI-driven cloud frameworks for managing spatial big data in agriculture.

    Duties and Responsibilities
  • Developing full stack data science solutions, from building raw data sets to automation and deployment;

  • Collect, process, label, analyze, and validate the integrity of data to be used for analysis and deep learning algorithms;

  • Grade, review, and label wheat head and wheat kernel images on the computer;

  • Review, and correct our labelled images;

  • Explore and test various methods and solutions to improve and verify data quality to improve AI algorithm accuracy;
  • Train machine learning and deep learning models; and

  • Work with customers and AI team members to use big data and AI technologies to solve real problems in agriculture.

    Knowledge and Skills
  • 1+ years of knowledge with big data or machine learning methods;

  • 1+ years of experience with Python or R;

  • Ability to work independently and as part of a team; and

  • Ability to translate complex data into actionable insights and recommendations.

    Education Required

    Bachelor's or master's degree in data science, agriculture, computer science, mathematics, or a related field.

    Job Type: Full-time

    Salary: Up to $55,000.00 per year

    Additional pay:
  • Bonus pay
    Schedule:
  • Monday to Friday

    Ability to SK S7N 3R3: reliably commute or plan to relocate before starting work (required)

    • Example 7

    Job Overview

    SomaDetect is a high-growth technology startup in the dairy industry that is looking to expand its development team. We have a diverse team that strives to develop fiercely innovative solutions, with a focus on quality to create products that put farmers first. SomaDetect is now a fully remote company, with team clusters in Buffalo, NY, and across Canada (southern Ontario, Ottawa, Fredericton, and Halifax). This is a remote position.

    We are looking for a Data Scientist that will join our existing team and participate in the development of predictive models that leverage massive amounts of data. The Data Scientist will collaborate with a team of multidisciplinary engineers and researchers to tackle challenges related to the analysis/modeling of dairy data. This role requires someone well versed in the fundamentals of data science, computer vision and machine learning. The ideal candidate must also have the experience and problem-solving abilities necessary to extract insights and discover patterns within messy, real-world data sets.

    *
    Responsibilities and Duties*

  • Perform statistical analysis on data from different sources/sensors
  • Develop machine learning models for real-world problems (a product oriented approach)
  • Responsible for developing processes and tools to monitor and analyze the data quality and model performance
  • Work collaboratively with other data scientists, software developers and engineers to integrate algorithms into a complete product
  • Thoroughly test and objectively evaluate the scope of validity of any R&D deliverables
  • Responsible for enhancing the data collection procedures collaboratively with other operational teams for building the relevant predictive models.
  • Ability to understand an end-to-end product development/deployment lifecycle.

    Qualifications & Requirements

  • Ph.D. or Master�s degree in Computer science, Data Science, Bioinformatics, Engineering, or equivalent experience
  • 3+ years of relevant experience in the data science, computer vision and machine learning field
  • Strong programming skills in Python (must have) and/or R(a plus)
  • Experience with data analysis, computer vision and visualizations (numpy, pandas, opencv, scikit-image, matplotlib etc.)
  • Strong fundamental grasp of machine learning and deep learning concepts (Random Forests, SVMs, CNNs, LSTMs etc.)
  • Knowledge of deep learning frameworks: TensorFlow or PyTorch
  • Experience working in Linux environment
  • Knowledge and experience in statistical and data mining techniques using time series datasets, Bayesian Probability, Markov Models (HMM) is a plus
  • Experience in using AWS (S3, Sage Maker) is a plus
  • Excellent oral and written communication
  • Works effectively in small teams
  • Experience in working in an agile environment, using project management and reporting tools (e.g., Confluence, Jira etc)

    We appreciate all expressed interest in this position; however, only the candidates selected for an interview will be Type: Full-time

    • What does a Data Scientist do?

    Data Scientists are hired to support product, leadership, sales, and marketing teams with information gained from company data. They use large data sets collected from the company’s data sources to analyze and develop solutions to address business challenges. Typically, Data Scientists understand how to use data tools, analyze data sets, build and implement models and visualizations from these data sets, and create algorithms to communicate to stakeholders and other vital teams within the business.

    Data Scientist skills and qualifications

    Data Scientists need a wide variety of skills to handle the responsibilities of the position. The most important ones to include in a job description are: 

    • Oral and written communication skills
    • Problem-solving skills
    • Ability to create data architectures
    • Knowledge of machine learning techniques
    • Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets
    • A desire to learn new techniques and technologies
    • Flexibility to work as a member of the team and as an individual contributor

    Data Scientist experience requirements

    The exact amount of experience required for a Data Scientist position varies based on the responsibilities of the job. Senior Data Scientists, for example, usually have a minimum of five to seven years of experience building statistical models to communicate to teams and stakeholders. Entry-level Data Scientists, meanwhile, can qualify with a data science boot-camp certification or some internship experience.

    Data Scientists also have experience working with different programming languages such as C, C++, and Java, along with experience in statistical techniques such as Random Forest, Boosting, social network analysis, text mining, and generalized linear models. Other experience include statistical computer languages such as R, SQL, and Python, web services like Spark and Redshift, and machine learning algorithms like regression, simulation, modelling, decision trees, and neural networks.

    Data Scientist education and training requirements

    Data Scientists typically have a master’s or doctorate degree in mathematics, computer science, statistics, or other quantitative fields. Data Scientists may also have certifications or continuing education in different tools and technologies such as programming languages, data analysis tools, machine learning, the Internet of things, artificial intelligence, or other related technologies.

    Data Scientist salary expectations

    According to Indeed Salaries, the average salary for a Data Scientist is $81,700 per year. Wages may be dependent on factors including relevant experience, location, education level, and company.

    Job description samples for similar positions

    If a Data Scientist isn’t the position you’re looking for, other job description samples are available for related or similar job positions:

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    Data Scientist job description FAQs

    What is the difference between a Data Scientist and a Data Analyst?

    Both Data Scientists and Data Analysts require statistical knowledge, an understanding of algorithms, communication skills, and software engineering skills, but there are significant differences between the job responsibilities. Data Analysts work directly with the data, and they focus on using programming languages to dissect data and solve business problems. A Data Scientist focuses on the overall picture of data and understands analysis, modelling, math, statistics, and computer science, allowing them to create visualizations and models to communicate the data findings to teams and stakeholders. Data Scientists also have some business acumen and they understand how data relates to business operations.

    What qualities make a good Data Scientist?

    Talented Data Scientists should demonstrate a sharp business acumen and an understanding of how raw data translates to data-driven business decisions to improve sales, marketing, product development, or customer experience. Ideal candidates should also have a passion for analyzing data, developing statistical models, and communicating this knowledge to teams and stakeholders. It is also important to have a Data Scientist who can communicate high-level technology concepts in an approachable way for the layperson.

    What types of businesses need Data Scientists?

    Data Science is a growing field that is necessary to virtually every industry. Data Scientists are needed in the retail and hospitality industries to analyze customer data, in the finance sector for financial insights, and in healthcare for disease modelling, improvement of patient experience, and the implementation of wearable healthcare devices. Other industries, such as construction and transportation, employ Data Scientists to analyze patterns such as material-based expenses, time frames, and traffic routes, among others.

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