What are the responsibilities and job description for the Data Scientist position at Vaco by Highspring?
We are looking for a talented Data Scientist with expertise in machine learning, data engineering, and model optimization. The ideal candidate should have strong proficiency in Python, PySpark, and SQL, with experience in time series forecasting, feature engineering, and evaluating data model performance. The role requires the ability to work on large-scale data integration projects across different industries.
A key aspect of this position involves building machine learning models that not only meet but surpass user expectations, delivering tangible value to the business. The candidate should be skilled in data model optimization, feature engineering, and using performance evaluation metrics to ensure high-performance solutions.
This role also requires experience with cloud platforms, ETL tools, data transformation processes, and handling both structured and unstructured data. While not mandatory, knowledge of object-oriented programming languages (C#, Java, JavaScript) would be an advantage. Strong communication skills are essential for effective collaboration with cross-functional teams and the presentation of findings.
Key Responsibilities:
Develop and optimize machine learning models, focusing on time series forecasting and predictive analytics.
Conduct feature engineering and optimize data models to improve accuracy and efficiency.
Continuously assess model performance using metrics like MAPE, RMSE, R, and refine strategies as needed.
Design and implement data pipelines using PySpark, SQL, and cloud-based solutions for efficient data integration.
Work on large-scale data integration initiatives using tools like Boomi, SnapLogic, SSIS, or Palantir for ETL processes.
Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and automation.
Design and maintain data warehouse solutions to support advanced analytics and business intelligence.
Perform complex data transformations using SQL queries and data objects for AI/ML-driven projects.
Collaborate closely with business stakeholders to ensure models meet business objectives and user expectations.
Deploy, monitor, and continuously improve machine learning models in production environments.
Effectively communicate technical insights and findings to both technical and non-technical stakeholders.
Required Skills & Qualifications:
Proficiency in Python, PySpark, and SQL for data analysis, feature engineering, and model development.
Expertise in time series forecasting models, including ARIMA, Prophet, LSTMs, and other ML-based approaches.
Strong background in data model optimization, feature engineering, and performance evaluation.
In-depth understanding of ML model evaluation metrics and best practices for improving model accuracy.
Hands-on experience with data engineering, including data pipelines, ETL, and data transformation processes.
Experience with tools like Boomi, SnapLogic, SSIS, or Palantir for data integration.
Proficiency in cloud platforms, particularly Google Cloud (BigQuery, Vertex AI, Cloud Functions, etc.).
Familiarity with Palantir Foundry for data processing, analysis, and visualization.
Ability to optimize and query large-scale datasets using data lakes and relational databases.
Experience with AutoAI for automated model selection and hyperparameter tuning.
Experience with Google Colab for collaborative machine learning development.
Excellent problem-solving and communication skills, with the ability to explain complex concepts to business stakeholders.
Preferred Qualifications:
Experience with MLOps for continuous deployment, monitoring, and retraining of machine learning models.
Knowledge of business intelligence and reporting tools for data visualization.
Background in supply chain, logistics, or operational forecasting.
Experience in both batch and real-time data processing architectures.
Ability to optimize SQL queries and data transformations for performance improvements.
Familiarity with object-oriented programming languages such as C#, Java, or JavaScript (optional but beneficial).
Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .
Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
- Virginia residents may access our state specific policies here.
- Residents of all other states may access our policies here.
- Canadian residents may access our policies in English here and in French here.
- Residents of countries governed by GDPR may access our policies here.
Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
- the individual's skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
