← Data Science — P2

Goal templates — Data Science — P2

Data Science & Analytics · Data Science · P2 — Developing Professional

These are canon-derived frames, not advice: every line is either verbatim JobFrame canon text or a fixed template wrapping it. ⟨target⟩ / ⟨baseline⟩ / ⟨date⟩ are placeholders for the manager to fill in. Nothing here is generated by AI — rows are omitted, never invented, when the canon lacks the underlying field.

SMART goals

One row per canon core output / responsibility this level owns.

JFM responsibility (P2)

Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists.

Specific
Deliver: "Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
Time-bound
⟨date⟩

JFM responsibility (P2)

Designs and leads an analysis or model to completion with minimal manager input on familiar problem types.

Specific
Deliver: "Designs and leads an analysis or model to completion with minimal manager input on familiar problem types."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
Time-bound
⟨date⟩

JFM responsibility (P2)

Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models.

Specific
Deliver: "Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
Time-bound
⟨date⟩

JFM responsibility (P2)

Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts.

Specific
Deliver: "Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
Time-bound
⟨date⟩

JFM responsibility (P2)

Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches.

Specific
Deliver: "Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
Time-bound
⟨date⟩
Copy / print as textshow ▾
1. Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists.  [source: JFM responsibility (P2)]
   Specific:    Deliver: "Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
   Time-bound:  ⟨date⟩

2. Designs and leads an analysis or model to completion with minimal manager input on familiar problem types.  [source: JFM responsibility (P2)]
   Specific:    Deliver: "Designs and leads an analysis or model to completion with minimal manager input on familiar problem types."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
   Time-bound:  ⟨date⟩

3. Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models.  [source: JFM responsibility (P2)]
   Specific:    Deliver: "Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
   Time-bound:  ⟨date⟩

4. Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts.  [source: JFM responsibility (P2)]
   Specific:    Deliver: "Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
   Time-bound:  ⟨date⟩

5. Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches.  [source: JFM responsibility (P2)]
   Specific:    Deliver: "Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Exercises judgment on moderately ambiguous problems, designing and completing an analysis or model with minimal direction."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P2 — Developing Professional.
   Time-bound:  ⟨date⟩

OKRs

Objectives from this level's core outputs; key results only where a real dimension or capability backs them.

JFM responsibility (P2)

Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists."
  • Evidence at this level's scope bar: "Defined deliverables / small features" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P2)

Designs and leads an analysis or model to completion with minimal manager input on familiar problem types.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Designs and leads an analysis or model to completion with minimal manager input on familiar problem types."
  • Evidence at this level's autonomy bar: "General supervision; reviewed at milestones" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P2)

Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models."
  • Evidence at this level's complexity bar: "Some non-routine problems; applies established patterns" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P2)

Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts."
  • Evidence at this level's impact bar: "Own and immediate-team deliverables" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P2)

Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches."
  • Evidence at this level's decision rights bar: "Routine technical choices within guidance" — ⟨target⟩ by ⟨date⟩
Copy / print as textshow ▾
Objective 1: Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists.  [source: JFM responsibility (P2)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists."
  KR2. Evidence at this level's scope bar: "Defined deliverables / small features" — ⟨target⟩ by ⟨date⟩

Objective 2: Designs and leads an analysis or model to completion with minimal manager input on familiar problem types.  [source: JFM responsibility (P2)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Designs and leads an analysis or model to completion with minimal manager input on familiar problem types."
  KR2. Evidence at this level's autonomy bar: "General supervision; reviewed at milestones" — ⟨target⟩ by ⟨date⟩

Objective 3: Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models.  [source: JFM responsibility (P2)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models."
  KR2. Evidence at this level's complexity bar: "Some non-routine problems; applies established patterns" — ⟨target⟩ by ⟨date⟩

Objective 4: Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts.  [source: JFM responsibility (P2)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts."
  KR2. Evidence at this level's impact bar: "Own and immediate-team deliverables" — ⟨target⟩ by ⟨date⟩

Objective 5: Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches.  [source: JFM responsibility (P2)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches."
  KR2. Evidence at this level's decision rights bar: "Routine technical choices within guidance" — ⟨target⟩ by ⟨date⟩

MBO areas

Key result areas from this level's responsibilities, each with a standard grounded in the canon leveling rubric where one exists.

AreaStandardTargetDue
Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists.Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."⟨target⟩⟨date⟩
Designs and leads an analysis or model to completion with minimal manager input on familiar problem types.Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."⟨target⟩⟨date⟩
Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models.Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."⟨target⟩⟨date⟩
Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts.Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."⟨target⟩⟨date⟩
Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches.Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."⟨target⟩⟨date⟩
Copy / print as textshow ▾
1. Area: Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists.  [source: JFM responsibility (P2) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."
   Target:   ⟨target⟩   Due: ⟨date⟩

2. Area: Designs and leads an analysis or model to completion with minimal manager input on familiar problem types.  [source: JFM responsibility (P2) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."
   Target:   ⟨target⟩   Due: ⟨date⟩

3. Area: Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models.  [source: JFM responsibility (P2) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."
   Target:   ⟨target⟩   Due: ⟨date⟩

4. Area: Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts.  [source: JFM responsibility (P2) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."
   Target:   ⟨target⟩   Due: ⟨date⟩

5. Area: Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches.  [source: JFM responsibility (P2) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies machine learning, data wrangling, and ETL construction across whole problems in familiar domains; selects from conventional methods."
   Target:   ⟨target⟩   Due: ⟨date⟩

Scorecard

Only perspectives with real canon backing are shown — no Financial or Customer perspective, since nothing in the canon grounds business-financial or customer measures for a role alone.

Internal process

  • "Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists."→ ⟨target⟩ by ⟨date⟩
  • "Designs and leads an analysis or model to completion with minimal manager input on familiar problem types."→ ⟨target⟩ by ⟨date⟩
  • "Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models."→ ⟨target⟩ by ⟨date⟩
  • "Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts."→ ⟨target⟩ by ⟨date⟩
  • "Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches."→ ⟨target⟩ by ⟨date⟩

Role calibration

  • Meets the scope bar: "Defined deliverables / small features"→ ⟨target⟩ by ⟨date⟩
  • Meets the autonomy bar: "General supervision; reviewed at milestones"→ ⟨target⟩ by ⟨date⟩
  • Meets the complexity bar: "Some non-routine problems; applies established patterns"→ ⟨target⟩ by ⟨date⟩
  • Meets the impact bar: "Own and immediate-team deliverables"→ ⟨target⟩ by ⟨date⟩
  • Meets the decision rights bar: "Routine technical choices within guidance"→ ⟨target⟩ by ⟨date⟩
  • Meets the leadership bar: "May guide interns"→ ⟨target⟩ by ⟨date⟩
Copy / print as textshow ▾
Internal process
  - "Owns whole problems end-to-end rather than isolated tasks, taking overall direction from senior data scientists."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P2)]
  - "Designs and leads an analysis or model to completion with minimal manager input on familiar problem types."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P2)]
  - "Writes code to collect, clean, and analyze data, and constructs the ETL pipeline that provides training data for machine learning models."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P2)]
  - "Handles most of the technical work for a project independently, applying judgment in familiar modeling contexts."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P2)]
  - "Manages moderately ambiguous problems with wider scope and chooses appropriate methods from conventional approaches."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P2)]

Role calibration
  - Meets the scope bar: "Defined deliverables / small features"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Scope)]
  - Meets the autonomy bar: "General supervision; reviewed at milestones"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Autonomy)]
  - Meets the complexity bar: "Some non-routine problems; applies established patterns"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Complexity)]
  - Meets the impact bar: "Own and immediate-team deliverables"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Impact)]
  - Meets the decision rights bar: "Routine technical choices within guidance"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Decision rights)]
  - Meets the leadership bar: "May guide interns"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Leadership)]