Job description

Job Title

Senior Data Scientist

Job Description

II. Essential Job Functions

Accountabilities, Actions And Expected Measurable Results

Leverage your technical expertise to constantly raise the bar and ensure the team delivers extraordinary results – focusing on creating value, continuous improvement, and collaboration. Strive to thoroughly understand customer, business and stakeholder needs, and provide effective data driven solutions to meet those needs. Develop, communicate, and maintain architectural, design, and lineage documentation.

Enhancing, upgrading and maintaining previously developed Data Science products.

Brainstorming and developing new data driven solutions to evaluate, consult and optimize various business proposals. -

Participating in Retros, demos, planning, daily stand up.

Learning and continuous improvement (keep up with state-of-the-art technology, conferences.

III. Minimum Qualifications and Job Requirements | All must be met to be considered.


B.S. or Masters (Preferred) in Engineering, Computer Science, Statistics or Mathematics or other quantitative fields


4+ Years of Data Science experience and data scripting languages (e.g. Python, SQL, R etc), deep understanding of all practical details of the entire pipeline of Data Science: data query from data warehouse and datalakes, dataset creation, exploration of data, data cleansing, statistical analysis, feature engineering, model training and evaluation, model deployment and monitoring.

Specific Knowledge, Skills And Abilities
  • Solid understanding of popular machine learning algorithms including supervised, un-supervised, and semi-supervised ones. What is the difference between algorithms? What algorithm would you choose for a given problem and why? What are the pros and cons of these algorithms? What is cross validation, hold-out sample, RMSE, overfitting, bias, …?
  • Proficient in one or more core data science programming languages (Python) and the ability to become functional in emergent languages and APIs as needed (Java, Scala, …).
  • Practical experience of building a full cycle machine learning engine from cleansing data to training and hyper parameter optimization to methods for evaluating the accuracy to identifying the ways to improve the accuracy of the model.
  • Experience in data applications working with large scale distributed systems (e.g. EMR, Spark, Hadoop)
  • Exposed to and experienced with state-of-the-art machine learning toolkits such as Spark ML, TensorFlow, Scikit-learn, XGBoost, NLP … preferably in Big Data frameworks (e.g. Apache Spark).
  • Familiarity with AWS ecosystem, Sagemaker, Athena, EMR, QuickSight, etc
  • A self-learner with capability to switch from the independent contributor and leader of the project to a collaborative contributor on the team (and vice versa) depending on the demand of the project and availability of the resources.
  • Collaborate with stakeholders, partners and clients to ensure that all parties are aligned and supportive of the project's priorities, requirements, timeline and objectives.
  • Familiarity with the MapReduce paradigm and Apache Spark project.
  • Proficient with SQL as a means of gathering data from relational databases.
  • Practiced data manipulation and mining of structured and unstructured data.
  • Experience in visualizations for business stakeholders using a variety of visualization tools from libraries in Python and MS Excel,
  • Familiarity with Data Engineering tools such as ETL, AWS Glue, Datalake, Airflow
  • Superior written and verbal communication with both technical and non-technical audiences
  • Strong analytical skills and a results-driven mindset
It is the policy of Meredith Operations Corporation (Dotdash Meredith, the Company) to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing

The Company requires employees entering its workplaces, performing work offsite, or attending a company sponsored event to verify and provide proof of full COVID-19 vaccination. The Company will consider requests for reasonable accommodations as required by applicable law.

The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

Pay Range

Salary: $79,500 - $135,900

The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Dotdash Meredith’s total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, Dotdash Meredith provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with Dotdash Meredith and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.


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